Rationalizing PROTAC-Mediated Ternary Complex Formation Using Rosetta
Open accessPublished version of a preprint
Abstract
Abstract PROTACs are molecules that combine a target-binding warhead with an E3 ligase-recruiting moiety; by drawing the target protein into a ternary complex with the E3 ligase, PROTACs induce target protein degradation. While PROTACs hold exciting potential as chemical probes and as therapeutic agents, development of a PROTAC typically requires synthesis of numerous analogs to thoroughly explore variations on the chemical linker; without extensive trial and error, it is unclear how to link the two protein-recruiting moieties to promote formation of a productive ternary complex. Here, we describe a structure-based computational method for evaluating suitability of a given linker for ternary complex formation. Our method uses Rosetta to dock the protein components, then builds the PROTAC from its component fragments into each binding mode; complete models of the ternary complex are then refined. We apply this approach to retrospectively evaluate multiple PROTACs from the literature, spanning diverse target proteins. We find that modeling ternary complex formation is sufficient to explain both activity and selectivity reported for these PROTACs, implying that other cellular factors are not key determinants of activity in these cases. We further find that interpreting PROTAC activity is best approached using an ensemble of structures of the ternary complex rather than a single static conformation, and that members of a structurally-conserved protein family can be recruited by the same PROTAC through vastly different binding modes. To encourage adoption of these methods and promote further analyses, we disseminate both the computational methods and the models of ternary complexes. Significance Statement Recent years have brought a flood of interest in developing compounds that selectively degrade protein targets in cells, as exemplified by PROTACs. Fully realizing the promise of PROTACs to transform chemical biology by delivering degraders of diverse and undruggable protein targets has been impeded, however, by the fact that designing a suitable chemical linker between the functional moieties requires extensive trial and error. Here, we describe a structure-based computational method to predict PROTAC activity. We envision that this approach will allow design and optimization of PROTACs for efficient target degradation, selection of E3 ligases best suited for pairing with a given target protein, and understanding the basis by which PROTACs can exhibit different target selectivity than their component warheads.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper describes a Rosetta-based computational protocol that docks a target protein and E3 ligase, builds PROTAC linkers into geometrically and energetically compatible binding modes, and scores the Fraction of Fully-compatible Complexes (FFC). Retrospective tests on Brd4BD1 and foretinib-based kinase degraders show FFC trends align with cellular degradation and selectivity, supporting ternary complex formation as a major determinant in these cases.
Key findings
- For the five CRBN-recruiting “ZXH” Brd4BD1 PROTACs, FFC values matched the experimentally observed trend in cellular degradation of Brd4BD1; FFC is normalized to the number of linker conformers, so longer linkers generating more conformers do not explain the trend.
- For foretinib-based PROTACs, VHL-recruiting PROTAC1 gave considerably higher FFC for c-Met than for EphA2 or STK10, consistent with cellular degradation; CRBN-recruiting PROTAC2 gave high FFC for both c-Met and EphA2, also consistent with cellular effects.
- Models contributing to FFC were not a single binding mode: diverse conformational arrangements passed the geometric and energetic filters, and the solved dBET70 ternary crystal structure binding mode was included among the FFC models, though the authors suggest it may not be dominant in solution.
- The same structurally conserved kinase family can be recruited by the same PROTAC through different binding modes, with protein-protein interactions involving less-conserved kinase surface regions outside the ATP-binding site.
Methods
- Protein-protein docking was performed in Rosetta starting from PDB structures of each protein bound to its cognate ligand; 50,000 bound poses were generated, and the top 10% by interaction energy were advanced. For the Brd4 case, a single ensemble of 5,000 docked models was used, corresponding to the lowest-energy 10% of raw docking output.
- Linker conformers were generated with OMEGA, up to 1,000 structures, capped with chemical “stubs”; docked models were filtered by aligning shared stub atoms and requiring RMSD < 0.4 Å. Complete ternary models were built by merging the aligned linker with bound ligands, minimized in Rosetta, and filtered by interaction energy against the median of the original docked ensemble; FFC is the fraction of initial docked models passing these filters.
- Statistical significance was assessed by splitting the original 5,000-model ensemble into five groups of 1,000, calculating FFC independently per subset, reporting mean ± SEM, and using unpaired two-tailed Student’s t-tests. PDB structures included Brd4BD1/JQ1 (3mxf), CRBN/lenalidomide (4tz4), c-Met/foretinib (3lq8), EphA2/foretinib (5ia4), STK10/foretinib (6i2y), and VHL (4w9h).
Limitations
- Stated: the computational approach models only the ternary complex and neglects cell penetrance, efflux, kinetics of ternary complex formation, ubiquitination efficiency once the complex forms, and proteasomal degradation of the ubiquitinated target.
- Stated: FFC is not proposed as a cutoff for whether a PROTAC will be active; comparisons between FFC values of related systems are more valuable. The method may underestimate anti-cooperative PROTACs because the docked ensemble focuses on binding modes with favorable protein-protein interactions and may miss anti-cooperative arrangements.
- Stated and evident: there are not yet enough published ternary crystal structures for thorough rigorous evaluation, and single static crystal structures may be misleading; the work is retrospective, using literature case studies (Brd4BD1 and foretinib/c-Met/EphA2/STK10) rather than prospective synthesis and testing.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 33 cited sources checked · 0 supported · 0 flagged
- Findingown data
The collection of refined models does not include highly-strained PROTAC conformations.
“Upon evaluating the internal energy of these conformers, we found that their distribution strongly overlaps with the distribution of energies from the conformers built into the ternary models (Figure S3): thus, the collection of refined models does not include highly-strained PROTAC conformations.”
Quote in the paperSubstantial claim - Findingown data
The number of ternary models normalized to the number of linker conformers has readily converged when 1000 linker conformers are included.
“Our analysis therefore normalizes the number of ternary models to the number of linker conformers: we find that this value has readily converged when 1000 linker conformers are included (Figure S2).”
Quote in the paperNot a substantial claim - Findingown data
RMSD values less than 0.4 Å yielded binding modes suitable for further refinement.
“Through preliminary exploration we found that RMSD values less than 0.4 Å yielded binding modes suitable for further refinement, and thus we adopted this as a cutoff to determine which models to pass along for further refinement.”
Quote in the paperSubstantial claim - Findingown data
A representative model for the ZXH-3-26 ternary complex shows adventitious protein-protein interactions.
“A representative model for one such ternary complex model (using the PROTAC ZXH-3-26) shows an example of the adventitious protein-protein interactions observed in these models (Figure 2c).”
Quote in the paperSubstantial claim - Findingown data
The latter study's series of very potent degraders yield high FFC values when explored through the computational approach.
“That said, the latter study reports a series of very potent degraders 62, and indeed these yield high FFC values when explored through our computational approach (Table S1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] source
Not checked in the free run.
- Rests on an assumption: The number of models that emerge from filtering (FFC) is a measure of how efficiently the PROTAC induces ternary complex formation.
- Findingown data
The collection of models contributing to FFC includes the crystal structure binding mode for the dBET70 ternary complex.
“The crystal structure for the dBET70 ternary complex has been solved 54, and gratifyingly our collection of models contributing to FFC does include this particular binding mode (Figure 2d).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] source
Not checked in the free run.
- Rests on an assumption: The number of models that emerge from filtering (FFC) is a measure of how efficiently the PROTAC induces ternary complex formation.
- Findingreasoning
Linkers with higher FFC values correspond exactly to those with enhanced cellular degradation of Brd4BD1.
“We observe that linkers with higher FFC values (i.e., the linker is compatible with more of the conformational ensemble from docking) correspond exactly to those with enhanced cellular degradation of Brd4BD1, presumably because these PROTACs more effectively induce ternary complex formation in cells.”
Quote in the paperSubstantial claim- Rests on an assumption: The ensemble of 5000 docked models captures the diversity of potential ways in which Brd4 and CRBN might form adventitious interactions.
- Rests on an assumption: The number of models that emerge from filtering (FFC) is a measure of how efficiently the PROTAC induces ternary complex formation.
- Findingown data
The linker itself can contribute favorably to ternary complex formation in some cases by making additional interactions with one or both proteins.
“The linker itself can also contribute favorably to ternary complex formation in some cases, by making additional interactions with one or both proteins.”
Quote in the paperNot a substantial claim - Findingown data
For the five PROTACs comprising the 'ZXH' series, the numbers of poses arising from filtering (FFC) match very closely the trend in experimentally-observed cellular degradation of the target protein.
“Remarkably, for the five PROTACs comprising the “ZXH” series, the numbers of poses arising from filtering (which we report as FFC, the Fraction of Fully-compatible Complexes) match very closely the trend in experimentally-observed cellular degradation of the target protein (Table 1).”
Quote in the paperSubstantial claim- Rests on an assumption: The ensemble of 5000 docked models captures the diversity of potential ways in which Brd4 and CRBN might form adventitious interactions.
- Rests on an assumption: The number of models that emerge from filtering (FFC) is a measure of how efficiently the PROTAC induces ternary complex formation.
- Findingown data
Even amongst the three kinases considered here, there are no clusters of conserved surface residues outside the ATP-binding site.
“Even amongst the three kinases considered here, there are no clusters of conserved surface residues outside the ATP-binding site (Figure 3f).”
Quote in the paperSubstantial claim- Rests on an assumption: The ATP-binding sites of canonical protein kinases share sequence and structural conservation, while the surface outside this site varies dramatically over the kinase family.
- Findingown data
By analysis of the resulting collections of models, it is possible to retrospectively explain relationships between linker length/composition and cellular activity.
“By analysis of the resulting collections of models, we demonstrate that it is possible to retrospectively explain relationships between linker length/composition and cellular activity.”
Quote in the paperSubstantial claim - Findingnone given
The paper developed a new computational protocol for structure-based modeling of PROTAC-mediated ternary complexes.
“We report here the development of a new computational protocol for structure-based modeling of PROTAC-mediated ternary complexes.”
Quote in the paperSubstantial claim - Findingreasoning
The protein-protein interactions in the ternary complex arise from the less-conserved regions on the kinase surface, which differ even among evolutionarily-related kinases.
“Importantly, the protein-protein interactions in the ternary complex arise from the less-conserved regions on the kinase surface, which differ even among evolutionarily-related kinases.”
Quote in the paperSubstantial claim- Rests on an assumption: The ATP-binding sites of canonical protein kinases share sequence and structural conservation, while the surface outside this site varies dramatically over the kinase family.
- Findingown data
By exploring ternary complexes of PROTACs built upon the same kinase-binding warhead, surface differences on the conserved kinase fold can change the preferred binding modes for a given PROTAC.
“By exploring ternary complexes of PROTACs built upon the same kinase-binding warhead, already we find that surface differences on the conserved kinase fold can change the preferred binding modes for a given PROTAC.”
Quote in the paperSubstantial claim - Findingreasoning
Strong degradation preferences arise despite the shared global fold of all three kinase domains.
“As might be expected for such a molecular recognition event, details matter: this is underscored by the fact that strong degradation preferences arise despite the shared global fold of all three kinase domains.”
Quote in the paperSubstantial claim - Findingown data
The results from the computational protocol agreed well with cellular degradation data.
“Because cellular degradation is more commonly probed, however, it was more straightforward to draw these data from the literature; we were therefore delighted and surprised to discover how well the results from our computational protocol agreed with this ultimately more-relevant endpoint.”
Quote in the paperSubstantial claim - Findingown data
For CRBN-recruiting PROTAC2, FFC values are high for c-Met and EphA2, consistent with the cellular effects of treatment with this PROTAC.
“By contrast, CRBN-recruiting PROTAC2 yields high FFC for c-Met and EphA2: this too is consistent with the cellular effects of treatment with this PROTAC (Figure 3c).”
Quote in the paperSubstantial claim- Rests on an assumption: The number of models that emerge from filtering (FFC) is a measure of how efficiently the PROTAC induces ternary complex formation.
- Findingown data
Members of a structurally-conserved protein family can be recruited by the same PROTAC through vastly different binding modes.
“and that members of a structurally-conserved protein family can be recruited by the same PROTAC through vastly different binding modes.”
Quote in the paperSubstantial claim - Findingown data
Although the warhead engages the structurally-conserved ATP-binding site in the same manner and the kinase fold is conserved, models of the ternary complex can be remarkably diverse.
“In summary, then, we find that although the warhead engages the structurally-conserved ATP-binding site in the same manner, and the kinase fold is conserved, our models of the ternary complex can be remarkably diverse.”
Quote in the paperSubstantial claim - Findingown data
Recognition by VHL involves non-conserved regions of the c-Met surface.
“Importantly, recognition by VHL involves non-conserved regions of the c-Met surface (Figure 3e), consistent with the suggestion that protein-protein interactions involving these regions may explain the nascent selectivity of PROTACs built from promiscuous warheads.”
Quote in the paperSubstantial claim- Rests on an assumption: The ATP-binding sites of canonical protein kinases share sequence and structural conservation, while the surface outside this site varies dramatically over the kinase family.
- Findingown data
For PROTAC1, multiple binding modes were observed for c-Met.
“For PROTAC1, which gave high FFC values for c-Met, multiple binding modes were observed for this kinase (Figure 3d); this was analogous to the observations from the Brd4BD1 case study presented earlier.”
Quote in the paperSubstantial claim - Findingreasoning
In the kinase example presented, regions outside the ATP-binding site proved critical for driving PROTAC selectivity.
“Given the importance in the ternary complex of protein-protein interactions between the target protein and the E3 ligase, it will be essential that both proteins are accurately modeled beyond just their PROTAC binding sites; in the kinase example presented here, for example, regions outside the ATP-binding site proved critical for driving PROTAC selectivity.”
Quote in the paperSubstantial claim - Premisecitation
PROTACs induce target protein degradation by drawing the target protein into a ternary complex with an E3 ligase.
“If these two groups are connected via a carefully-chosen chemical linker, the resulting compound can induce formation of a ternary complex that includes the target protein, the PROTAC, and the E3 ligase. The resulting proximity between target protein and E3 ligase can then lead to ubiquitination of the target protein, and ultimately its degradation 1.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] source
Not checked in the free run.
- Premisecitation
Foretinib itself inhibits at least a quarter of the human kinome.
“Using a competitive binding assay, foretinib itself was first shown to inhibit at least a quarter of the human kinome 20.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] source
Not checked in the free run.
- Premisecitation
There are not yet enough published crystal structures of ternary complexes to allow for a thorough and rigorous evaluation of the method.
“While there have been several published crystal structures of ternary complexes 35, 52, 54, there are not yet enough to allow for a thorough and rigorous evaluation of our method.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The observation of diverse conformational arrangements is consistent with the 'plasticity' originally ascribed to the complexes in this series.
“This observation is consistent with the surprising “plasticity” originally ascribed to the complexes in this series 54.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] source
Not checked in the free run.
- Interpretationreasoning
The correspondence between higher FFC values and enhanced cellular degradation is presumably because these PROTACs more effectively induce ternary complex formation in cells.
“We observe that linkers with higher FFC values (i.e., the linker is compatible with more of the conformational ensemble from docking) correspond exactly to those with enhanced cellular degradation of Brd4BD1, presumably because these PROTACs more effectively induce ternary complex formation in cells.”
Quote in the paperSubstantial claim- Rests on an assumption: The number of models that emerge from filtering (FFC) is a measure of how efficiently the PROTAC induces ternary complex formation.
- Premisecitation
Crystal structures of foretinib in complex with c-Met, EphA2, and STK10 have been solved.
“Crystal structures of foretinib in complex with three different kinases have been solved to date (c-Met, EphA2, and STK10) 64, 65”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationown data
Multiple binding modes are likely to contribute to the ternary complexes formed by these PROTACs.
“This viewpoint is wholly consistent with our observation that multiple binding modes are likely to contribute to the ternary complexes formed by these PROTACs.”
Quote in the paperSubstantial claim - Premisecitation
The extent to which different kinases were degraded was not simply a reflection of how tightly the PROTAC bound the kinase, since inhibition constants were not correlated with cellular degradation.
“Moreover, the extent to which different kinases were degraded was not simply a reflection related to how tightly the PROTAC bound the kinase, since inhibition constants were not correlated with cellular degradation 20.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] source
Not checked in the free run.
- Premisecitation
Many single-point mutations to either Brd4 or CRBN outside their ligand-binding sites lead to modest changes that enhance or reduce ternary complex formation, without finding mutations that abrogate the interaction completely.
“It is further consistent with the fact that many single-point mutations to either Brd4 or to CRBN (outside of their respective ligand-binding sites) lead to modest changes that enhance or reduce ternary complex formation, without finding mutations that abrogate the interaction completely 54.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [54] source
Not checked in the free run.
- Study design and conductown data
Randomly splitting the original collection of docked models into five subsets confirms the statistical significance of the differences between calculated FFC values for the 'ZXH' series.
“By randomly splitting the original collection of docked models into five subsets, we next evaluated the variance arising from sampling in each of the predicted FFC values for the “ZXH” series of PROTACs: this analysis confirms the statistical significance of the differences between calculated FFC values (see Methods) (Figure 2a).”
Quote in the paperSubstantial claim - Interpretationreasoning
Sparse information from mutagenesis experiments is typically insufficient to unambiguously point to a specific binding mode in the ternary complex.
“Beyond the fact that we observe ensembles of models that are fully consistent with the geometric and energetic requirements of ternary complex formation (rather than a single static model for each), this observation also underscores the fact that sparse information from mutagenesis experiments are typically insufficient to unambiguously point to a specific binding mode in the ternary complex.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The computational strategy implicitly neglects binding modes in which the protein-protein interaction does not contribute favorably to the ternary complex.
“By starting with an ensemble of docked models for the protein components, our computational strategy implicitly neglects binding modes in which the protein-protein interaction does not contribute favorably to the ternary complex.”
Quote in the paperSubstantial claim - Interpretationreasoning
This leads to PROTAC selectivity that can differ from that of the warhead in surprising and unexpected ways.
“This in turn leads to PROTAC selectivity that can differ from that of the warhead in surprising and unexpected ways.”
Quote in the paperSubstantial claim - Interpretationown data
Interpreting PROTAC activity is best approached using an ensemble of structures of the ternary complex rather than a single static conformation.
“We further find that interpreting PROTAC activity is best approached using an ensemble of structures of the ternary complex rather than a single static conformation”
Quote in the paperSubstantial claim - Interpretationreasoning
For this series at least, cell permeability may not be the primary limitation of PROTAC activity.
“This suggests that, for this series at least, cell permeability may not be the primary limitation of PROTAC activity.”
Quote in the paperSubstantial claim - Premisereasoning
In an anti-cooperative scenario, addition of the PROTAC still recruits the E3 ligase to the target protein.
“In an anti-cooperative scenario, addition of the PROTAC will still recruit the E3 ligase to the target protein: anti-cooperativity simply means that a higher concentration of PROTAC will be needed, relative to a non-cooperative or cooperative PROTAC with the same warhead and the E3-recruiting moiety.”
Quote in the paperSubstantial claim - Study design and conductnone given
The computational results do not directly incorporate any knowledge of a PROTAC's cell penetrance, efflux, kinetics of ternary complex formation, ubiquitination efficiency, or rate of proteasomal degradation.
“Importantly, our computational results do not directly incorporate any knowledge of a PROTAC’s cell penetrance, efflux, kinetics of ternary complex formation, ubiquitination efficiency once the ternary complex is formed, or rate of proteasomal degradation of the ubiquitinated target protein.”
Quote in the paperSubstantial claim - Interpretationreasoning
The computational method may underestimate cellular activity of anti-cooperative PROTACs.
“Thus, while our computational method may underestimate cellular activity of anti-cooperative PROTACs, we anticipate that even in these cases this approach can be used to facilitate optimization of activity through design of linkers that promote cooperativity.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The computational approach focuses on binding modes in which the two proteins already have some intrinsic affinity for one another and are therefore likely to exhibit positive cooperativity.
“Instead, our approach focuses on binding modes in which the two proteins already have some intrinsic affinity for one another, and are therefore likely to exhibit (positive) cooperativity.”
Quote in the paperSubstantial claim - Interpretationreasoning
This emergent selectivity will depend on the E3 ligase that is recruited, as different E3 ligases will engage these non-biological binding partners in different ways.
“This emergent selectivity will naturally depend as well on the E3 ligase that is to be recruited, as different E3 ligases will inevitably engage these non-biological binding partners in different ways.”
Quote in the paperSubstantial claim - Interpretationown data
The results do not suggest that a particular FFC value can be used as a cutoff to determine whether or not a PROTAC will have activity.
“The results we present here do not suggest that a particular FFC value can be used as a cutoff to determine whether or not a PROTAC will have activity; rather, comparisons between the FFC values of related systems are more valuable.”
Quote in the paperSubstantial claim - Interpretationreasoning
Even for anti-cooperative PROTACs, the approach can be used to facilitate optimization of activity through design of linkers that promote cooperativity.
“Thus, while our computational method may underestimate cellular activity of anti-cooperative PROTACs, we anticipate that even in these cases this approach can be used to facilitate optimization of activity through design of linkers that promote cooperativity.”
Quote in the paperSubstantial claim - Premisecitation
The dual selectivity of palbociclib is unsurprising, given complete sequence conservation between CDK6 and CDK4 at all amino acid positions that contact this ATP-competitive inhibitor.
“Support for this concept draws from recently-reported PROTACs built on the dual CDK6/CDK4 inhibitor palbociclib 69. The dual selectivity of palbociclib is unsurprising, given that there is complete sequence conservation between these two kinases at all amino acid positions that contact this ATP-competitive inhibitor.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] Fry D. W., 2004, Mol. Cancer Ther. source
Not checked in the free run.
- Study design and conductreasoning
Binding modes in which the arrangement of the protein components is unfavorable, leading to anti-cooperativity, may not be present in the docked ensemble and could be missed in subsequent analysis.
“Conversely, binding modes in which the arrangement of the protein components are unfavorable – leading to anti-cooperativity – may not be present in our docked ensemble, and thus could be missed in our subsequent analysis.”
Quote in the paperSubstantial claim - Interpretationreasoning
At least in the cases explored here, a PROTAC's activity is determined primarily by its ability to induce ternary complex formation and not these other factors.
“This implies that – at least in the cases we explore here – a PROTAC’s activity is determined primarily by its ability to induce ternary complex formation and not these other factors.”
Quote in the paperSubstantial claim - Interpretationreasoning
Conclusions drawn from a single static model (such as a crystal structure) may be misleading.
“Accordingly, conclusions drawn from a single static model (such a crystal structure) may be misleading; we therefore eagerly await insights from cryo-electron microscopy, which is exceptionally well-positioned to yield definitive answers regarding the range of motion in PROTAC ternary complexes.”
Quote in the paperSubstantial claim - Interpretationown data
The models can rationalize the surprising observation that the target-selectivity of a given PROTAC is not simply transferred from the target-binding warhead.
“Further, these models can also rationalize the surprising observation that the target-selectivity of a given PROTAC is not simply transferred from the target-binding warhead: rather, interactions with the E3 ligase in the ternary complex can dramatically shift the selectivity of the PROTAC.”
Quote in the paperSubstantial claim - Interpretationreasoning
The underlying differences in kinase/E3 binding preferences are presumably captured in the initial docked ensembles, even before the PROTAC linker has been specified.
“While these differences are observed in the context of two PROTACs’ surprising degradation selectivity, already the underlying differences in the kinase/E3 binding preferences are presumably captured in the initial docked ensembles, even before the PROTAC linker has been specified.”
Quote in the paperSubstantial claim - Interpretationown data
Interactions with the E3 ligase in the ternary complex can dramatically shift the selectivity of the PROTAC.
“Further, these models can also rationalize the surprising observation that the target-selectivity of a given PROTAC is not simply transferred from the target-binding warhead: rather, interactions with the E3 ligase in the ternary complex can dramatically shift the selectivity of the PROTAC.”
Quote in the paperSubstantial claim - Premisecitation
Recent versions of Rosetta include a dramatically-improved treatment of small molecules in the energy function that is necessary for refining linker conformations in the ternary complexes.
“In addition to other essential functionalities (the “jump_all” flag), recent versions of Rosetta also include a dramatically-improved treatment of small molecules in the energy function that is necessary for refining linker conformations in the ternary complexes 78.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [78] Park H., 2020, bioRxiv
Not checked in the free run.
- May combine two claims. 21
- Classified as probably not a substantial claim. 8
May combine two claims.
Findingown dataBrd4 and CRBN can exhibit surprising shape complementarity along with a number of stabilizing intermolecular hydrogen bonds in the ternary complex models.
“Despite the fact that these proteins are presumably not at all evolved to recognize one another, we find that they can exhibit surprising shape complementary along with a number of stabilizing intermolecular hydrogen bonds.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe collection of models which pass the stringent filters do not represent a single binding mode; rather, there are a remarkably diverse set of conformational arrangements allowing for models of the ternary complex that are fully consistent with all geometric and energetic requirements.
“Importantly, we find that the collection of models which pass these stringent filters (i.e., those that contribute to FFC) do not represent a single binding mode. Rather, we find that for these PROTACs there are a remarkably diverse set of conformational arrangements allowing for models of the ternary complex that are fully consistent with all geometric and energetic requirements (Figure 2b).”
Quote in the paperSubstantial claim- Rests on an assumption: The ensemble of 5000 docked models captures the diversity of potential ways in which Brd4 and CRBN might form adventitious interactions.
May combine two claims.
FindingreasoningThe method does not produce a single model of the ternary complex, but rather a set of favorable models that are all consistent with the linker and which all include favorable interactions.
“As a result, our method does not produce a single model of the ternary complex, but rather a set of favorable models that are all consistent with the linker and which all include favorable interactions.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor VHL-recruiting PROTAC1, FFC values are considerably higher for c-Met than for the other two kinases, consistent with the extents to which this PROTAC induces their degradation in cells.
“For VHL-recruiting PROTAC1, we observe considerably higher FFC values for c-Met than for the other two kinases; this is consistent with the extents to which this PROTAC induces their degradation in cells (Figure 3b).”
Quote in the paperSubstantial claim- Rests on an assumption: The number of models that emerge from filtering (FFC) is a measure of how efficiently the PROTAC induces ternary complex formation.
May combine two claims.
Findingown dataFor PROTAC2, both c-Met and EphA2 yielded comparably high FFC values using different binding modes.
“For PROTAC2, both c-Met and EphA2 yielded comparably high FFC values, and again achieved these values using different binding modes (Figure 3g).”
Quote in the paperSubstantial claim- Rests on an assumption: The number of models that emerge from filtering (FFC) is a measure of how efficiently the PROTAC induces ternary complex formation.
May combine two claims.
Findingown dataThe foretinib warhead engaged the highly-conserved ATP-binding site through the same interactions present in the starting foretinib/c-Met crystal structure, while the protein-protein interactions between VHL and c-Met differ amongst the models.
“Whereas the foretinib warhead engaged the highly-conserved ATP-binding site through the same interactions present in the starting foretinib/c-Met crystal structure, the protein-protein interactions between VHL and c-Met differ amongst the models comprising this ensemble.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningFormation of the ternary complex requires an orientation in which the two proteins position their respective ligands close to one another, which restricts the space of suitable docked models.
“Because formation of the ternary complex requires an orientation in which the two proteins position their respective ligands close to one another, this in turn restricts the space of suitable docked models.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationPROTAC selectivity does not necessarily mimic that of its target-binding warhead, but rather depends sensitively on the linker.
“It has further been shown that PROTAC selectivity does not necessarily mimic that of its target-binding warhead, but rather depends sensitively on the linker 20, 23, 24, 33”
Quote in the paperSubstantial claim0 of 4 sources checkedClassified as probably not a substantial claim. May combine two claims.
PremisecitationA PROTAC's ability to bind the target protein is not the primary determinant of whether efficient degradation occurs; rather, formation of the ternary complex is limiting.
“It has been shown that a PROTAC’s ability to bind the target protein is not the primary determinant of whether efficient degradation occurs; rather, it has been suggested that formation of the ternary complex is limiting (i.e., the ability of the PROTAC to simultaneously bind both the target protein and the E3 ligase) 20, 22.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationCellular treatment revealed that certain kinases were degraded much more efficiently by the VHL-recruiting PROTAC, while others were degraded more efficiently by the CRBN-recruiting PROTAC.
“Remarkably, however, cellular treatment revealed that certain kinases were degraded much more efficiently by the VHL-recruiting PROTAC, while others were degraded more efficiently by the CRBN-recruiting PROTAC 20.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] source
Not checked in the free run.
May combine two claims.
Study design and conductreasoningMore conformers were generated for the longer linkers, but this does not explain the observed trend because FFC is normalized to the number of conformers included in each calculation.
“We note that more conformers were generated for the longer linkers, and yet this would not explain the observed trend because FFC is normalized to the number of conformers included in each calculation.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAddition of a linker with a moiety to recruit either VHL or CRBN reduced foretinib's inhibition for several kinases, but overall both PROTACs retained broad non-selective inhibition.
“Addition of a linker with a moiety to recruit either VHL or CRBN reduced foretinib’s inhibition for several of these kinases, but overall both PROTACs retained broad non-selective inhibition.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20] source
Not checked in the free run.
May combine two claims.
PremisecitationMany effective PROTACs exhibit cooperativity in assembling the components of the ternary complex, implying the presence of adventitious favorable interactions between the target protein and the E3 ligase in the ternary complex.
“The observation that many effective PROTACs exhibit cooperativity in assembling the components of the ternary complex 35, 52, 53 implies the presence of adventitious favorable interactions between the target protein and the E3 ligase in the ternary complex.”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningThe computational approach allows rapid filtering of the ensemble for candidate binding modes compatible with the linker and building of models of the ternary complex.
“This approach allows us to rapidly filter the ensemble for candidate binding modes that are compatible with the constraints of the linker, and to build models of the target protein / PROTAC / E3 ligase ternary complex.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThis strategy can help select suitable linkers and provide a path for optimization that reduces the current requirement for synthesis and characterization of numerous PROTAC variants.
“First, for a given choice of warhead and E3 ligase, a single docked ensemble can be generated and numerous candidate linkers evaluated: as demonstrated (Table 1), this strategy can help select suitable linkers and provide a path for optimization that reduces the current requirement for synthesis and characterization of numerous PROTAC variants.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe same strategy can be used to explore variations in how the linker is attached to the warhead.
“Beyond simply varying the length or composition of the linker, the same strategy can also be used to explore variations in how the linker is attached to the warhead (Table S1).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataFor a given choice of warhead and E3 ligase, a single docked ensemble can be generated and numerous candidate linkers evaluated.
“First, for a given choice of warhead and E3 ligase, a single docked ensemble can be generated and numerous candidate linkers evaluated: as demonstrated (Table 1), this strategy can help select suitable linkers and provide a path for optimization that reduces the current requirement for synthesis and characterization of numerous PROTAC variants.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe modeling yielded many models with different binding modes yet comparable energetics, suggesting that adoption of multiple binding modes may reflect a common underlying physical reality for PROTAC ternary complexes.
“Very quickly, however, we recognized that our modeling yielded many models with different binding modes yet comparable energetics, suggesting that adoption of multiple binding modes may reflect a common underlying physical reality for PROTAC ternary complexes.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCell permeability was found to be extremely low for the complete JQ1-based degrader, below the concentration needed for effective degradation of BRD4, implying that this PROTAC must rely heavily on turnover to achieve depletion of its target protein.
“Cell permeability was measured for chloroalkane-tagged components of a JQ1-based degrader, and was found to be extremely low for the complete PROTAC: below even the concentration needed for effective degradation of BRD4, implying that this PROTAC must rely heavily on turnover to achieve depletion of its target protein 67.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [67] source
Not checked in the free run.
May combine two claims.
Interpretationown dataModeling ternary complex formation is sufficient to explain both activity and selectivity reported for these PROTACs, implying that other cellular factors are not key determinants of activity in these cases.
“We find that modeling ternary complex formation is sufficient to explain both activity and selectivity reported for these PROTACs, implying that other cellular factors are not key determinants of activity in these cases.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Premisenone givenAnti-cooperativity means that a higher concentration of PROTAC is needed relative to a non-cooperative or cooperative PROTAC with the same warhead and E3-recruiting moiety.
“In an anti-cooperative scenario, addition of the PROTAC will still recruit the E3 ligase to the target protein: anti-cooperativity simply means that a higher concentration of PROTAC will be needed, relative to a non-cooperative or cooperative PROTAC with the same warhead and the E3-recruiting moiety.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMoving towards more rigid linkers can lead to improved potency and selectivity.
“Capitalizing on the suggestion that moving towards more rigid linkers can lead to improved potency and selectivity (as exemplified by a recent example using a spirocyclic pyrimidine 68), this structure-based method is also well-positioned to suggest inflexible replacements for the typical PEG and alkyl linkers used in early-stage studies.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningComparisons between FFC values of related systems are more valuable than using a particular FFC cutoff.
“The results we present here do not suggest that a particular FFC value can be used as a cutoff to determine whether or not a PROTAC will have activity; rather, comparisons between the FFC values of related systems are more valuable.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningA PROTAC's preference across a protein family can be explored as a means to understanding how selectivity with respect to target degradation may differ from that of the warhead on which the PROTAC is built.
“Third, a PROTAC’s preference across a protein family can also be explored, as a means to understanding how selectivity with respect to target degradation may differ from that of the warhead on which the PROTAC is built (Table 2).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningOptimizing a PROTAC linker for maximal ternary complex formation can be conceptually equated with maximizing cooperativity in the ternary complex.
“While these can certainly have cellular activity, optimizing a PROTAC linker for maximal ternary complex formation can be conceptually equated with maximizing cooperativity in the ternary complex.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA very recent study combining structural and biochemical techniques offers support for a model in which efficient degradation can occur through a flexible ternary complex.
“In the meantime, a very recent study combining a wealth of structural and biochemical techniques now offers support for a model in which efficient degradation can occur through a flexible ternary complex 66.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [66] Schiemer J., 2020, Nat. Chem. Biol.
Not checked in the free run.
May combine two claims.
PremisecitationMultiple studies have described numerous CRBN-recruiting dual-selective degraders and CDK6-selective degraders, but none report CDK4-selective degraders; the only reported CDK4-selective degraders are built on ribociclib.
“Whereas multiple studies have described numerous CRBN-recruiting dual-selective degraders and CDK6-selective degraders 70–73, none report CDK4-selective degraders; the only reported CDK4-selective degraders are built on a slightly different warhead, ribociclib 74.”
Quote in the paperSubstantial claim0 of 5 sources checkedMay combine two claims.
Study design and conductreasoningModels can pass the energetic filtering stage by making use of an intrinsically better-than-average binding mode and/or by utilizing additional favorable interactions between the linker and the protein components.
“Thus, models can pass the energetic filtering stage by making use of an intrinsically better-than-average binding mode (without relying on changes from linking the warheads), and/or by utilizing additional favorable interactions between the linker and the protein components.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The interactions of each component within its respective binding site do not change in the context of the PROTAC ternary complex.
“The interactions of each component within its respective binding site is unlikely to change in the context of the PROTAC ternary complex; from a structural standpoint then, the key challenge entails determining the placement of the two proteins relative to one another.”
The paper relies on this without support.
The ATP-binding sites of canonical protein kinases share sequence and structural conservation, while the surface outside this site varies dramatically over the kinase family.
“Although the ATP-binding sites of canonical protein kinases share both sequence and structural conservation, the surface outside this site varies dramatically over the kinase family.”
The paper relies on this without support.
The ensemble of 5000 docked models captures the diversity of potential ways in which Brd4 and CRBN might form adventitious interactions.
“This ensemble corresponds to the lowest-energy 10% of the raw docking output, and is intended to capture the diversity of potential ways in which these two proteins might form adventitious interactions with one another; accordingly, there is no information on the linker length or attachment point of any specific PROTAC at this stage.”
The paper relies on this without support.
The number of models that emerge from filtering (FFC) is a measure of how efficiently the PROTAC induces ternary complex formation.
“We sought to use the number of models that emerge from this extensive filtering as a measure of how efficiently the PROTAC induces ternary complex formation, ultimately with the goal of defining how well this translates to cellular degradation of the target protein.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Bai et al. correlated target degradation with frequency of ternary complex formation for a small set of PROTACs with different linker lengths.
“In addition, Bai et al. were able to correlate target degradation with the frequency of ternary complex formation of a small set of PROTACs with different linker lengths.178”
From Chasing molecular glue degraders: screening approaches (2022) · cites this paper as [178]
Cites
Open Babel: An open chemical toolbox
O'Boyle, N. M., Banck, M. S., James, C. A. J., Morley, C., Vandermeersch, T., & Hutchison, G. R. (2011) · Journal of Cheminformatics · doi:10.1186/1758-2946-3-33 · Cited by 10,705 · see citing works
Selective inhibition of BET bromodomains
Filippakopoulos, P., Qi, J., Picaud, S., Shen, Y., Smith, W. B., Fedorov, O., Morse, E. M., Keates, T., Hickman, T. T., Felletar, I., et al. (2010) · Nature · doi:10.1038/nature09504 · Cited by 4,262 · see citing works
Ashkenazy, H., Abadi, S., Martz, E., Chay, O., Mayrose, I., Pupko, T., & Ben-Tal, N. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw408 · Cited by 3,163 · see citing works
Sakamoto, K. M., Kim, K. B., Kumagai, A., Mercurio, F., Crews, C. M., & Deshaies, R. J. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.141230798 · Cited by 2,609 · see citing works
Identification of a Primary Target of Thalidomide Teratogenicity
Ito, T., Ando, H., Suzuki, T., Ogura, T., Hotta, K., Imamura, Y., Yamaguchi, Y., & Handa, H. (2010) · Science · doi:10.1126/science.1177319 · Cited by 2,136 · see citing works
Leaver-Fay (2011) · doi:10.1016/b978-0-12-381270-4.00019-6 · Cited by 1,904 · see citing works
Phthalimide conjugation as a strategy for in vivo target protein degradation
Winter, G. E., Buckley, D. L., Paulk, J., Roberts, J. M., Souza, A., Dhe-Paganon, S., & Bradner, J. E. (2015) · Science · doi:10.1126/science.aab1433 · Cited by 1,760 · see citing works
The Rosetta All-Atom Energy Function for Macromolecular Modeling and Design
Alford, R. F., Leaver-Fay, A., Jeliazkov, J. R., O’Meara, M. J., DiMaio, F. P., Park, H., Shapovalov, M. V., Renfrew, P. D., Mulligan, V. K., Kappel, K., et al. (2017) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.7b00125 · Cited by 1,532 · see citing works
Catalytic in vivo protein knockdown by small-molecule PROTACs
Bondeson, D. P., Mares, A., Smith, I. E. D., Ko, E., Campos, S., Miah, A. H., Mulholland, K. E., Routly, N., Buckley, D. L., Gustafson, J. L., et al. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1858 · Cited by 1,356 · see citing works
Structural basis of PROTAC cooperative recognition for selective protein degradation
Gadd, M. S., Testa, A., Lucas, X., Chan, K.-H., Chen, W., Lamont, D. J., Zengerle, M., & Ciulli, A. (2017) · Nature Chemical Biology · doi:10.1038/nchembio.2329 · Cited by 1,242 · see citing works
Fry, D. W., Harvey, P. J., Keller, P. R., Elliott, W. L., Meade, M., Trachet, E., Albassam, M., Zheng, X., Leopold, W. R., Pryer, N. K., et al. (2004) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.1427.3.11 · Cited by 1,236 · see citing works
Structure of the DDB1–CRBN E3 ubiquitin ligase in complex with thalidomide
Fischer, E. S., Böhm, K., Lydeard, J. R., Yang, H., Stadler, M. B., Cavadini, S., Nagel, J., Serluca, F., Acker, V., Lingaraju, G. M., et al. (2014) · Nature · doi:10.1038/nature13527 · Cited by 1,141 · see citing works
Hijacking the E3 Ubiquitin Ligase Cereblon to Efficiently Target BRD4
Lu, J., Qian, Y., Altieri, M., Dong, H., Wang, J., Raina, K., Hines, J., Winkler, J. D., Crew, A. P., Coleman, K., et al. (2015) · Chemistry & Biology · doi:10.1016/j.chembiol.2015.05.009 · Cited by 1,140 · see citing works
Selective Small Molecule Induced Degradation of the BET Bromodomain Protein BRD4
Zengerle, M., Chan, K.-H., & Ciulli, A. (2015) · ACS Chemical Biology · doi:10.1021/acschembio.5b00216 · Cited by 1,056 · see citing works
Comparison of Shape-Matching and Docking as Virtual Screening Tools
Hawkins, P. C. D., Skillman, A. G., & Nicholls, A. O. (2006) · Journal of Medicinal Chemistry · doi:10.1021/jm0603365 · Cited by 998 · see citing works
Lessons in PROTAC Design from Selective Degradation with a Promiscuous Warhead
Bondeson, D. P., Smith, B. E., Burslem, G. M., Buhimschi, A. D., Hines, J., Jaime-Figueroa, S., Wang, J., Hamman, B. D., Ishchenko, A., & Crews, C. M. (2018) · Cell Chemical Biology · doi:10.1016/j.chembiol.2017.09.010 · Cited by 923 · see citing works
Macromolecular modeling and design in Rosetta: recent methods and frameworks
Leman, J. K., Weitzner, B. D., Lewis, S. M., Adolf-Bryfogle, J., Alam, N., Alford, R. F., Aprahamian, M., Baker, D., Barlow, K. A., Barth, P., et al. (2020) · Nature Methods · doi:10.1038/s41592-020-0848-2 · Cited by 888 · see citing works
Self-citationThe Advantages of Targeted Protein Degradation Over Inhibition: An RTK Case Study
Burslem, G. M., Smith, B. E., Lai, A. C., Jaime-Figueroa, S., McQuaid, D. C., Bondeson, D. P., Toure, M., Dong, H., Qian, Y., Wang, J., et al. (2018) · Cell Chemical Biology · doi:10.1016/j.chembiol.2017.09.009 · Cited by 686 · see citing works
Modular PROTAC design for the degradation of oncogenic BCR-ABL
Lai, A. C., Toure, M., Hellerschmied, D., Salami, J., Jaime‐Figueroa, S., Ko, E., Hines, J., & Crews, C. M. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201507634 · Cited by 618 · see citing works
Plasticity in binding confers selectivity in ligand-induced protein degradation
Nowak, R. P., DeAngelo, S. L., Buckley, D., He, Z., Donovan, K. A., An, J., Safaee, N., Jedrychowski, M. P., Ponthier, C. M., Ishoey, M., et al. (2018) · Nature Chemical Biology · doi:10.1038/s41589-018-0055-y · Cited by 615 · see citing works
RING-type E3 ligases: Master manipulators of E2 ubiquitin-conjugating enzymes and ubiquitination
Metzger, M. B., Pruneda, J. N., Klevit, R. E., & Weissman, A. M. (2013) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2013.05.026 · Cited by 608 · see citing works
Targeted protein degradation by PROTACs
Neklesa, T. K., Winkler, J. D., & Crews, C. M. (2017) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2017.02.027 · Cited by 599 · see citing works
BAF complex vulnerabilities in cancer demonstrated via structure-based PROTAC design
Farnaby, W., Koegl, M., Roy, M. J., Whitworth, C., Diers, E., Trainor, N., Zollman, D., Steurer, S., Karolyi-Oezguer, J., Riedmueller, C., et al. (2019) · Nature Chemical Biology · doi:10.1038/s41589-019-0294-6 · Cited by 562 · see citing works
Pharmacological perturbation of CDK9 using selective CDK9 inhibition or degradation
Olson, C. M., Jiang, B., Erb, M. A., Liang, Y., Doctor, Z. M., Zhang, Z., Zhang, T., Kwiatkowski, N., Boukhali, M., Green, J. L., et al. (2018) · Nature Chemical Biology · doi:10.1038/nchembio.2538 · Cited by 552 · see citing works
Chamberlain, P. P., Lopez-Girona, A., Miller, K., Carmel, G., Pagarigan, B., Chie-Leon, B., Rychak, E., Corral, L. G., Ren, Y. J., Wang, M., et al. (2014) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2874 · Cited by 531 · see citing works
Donovan, K. A., An, J., Nowak, R. P., Yuan, J. C., Fink, E. C., Berry, B. C., Ebert, B. L., & Fischer, E. S. (2018) · eLife · doi:10.7554/elife.38430 · Cited by 509 · see citing works
HaloPROTACS: Use of Small Molecule PROTACs to Induce Degradation of HaloTag Fusion Proteins
Buckley, D. L., Raina, K., Darricarrere, N., Hines, J., Gustafson, J. L., Smith, I. E., Miah, A. H., Harling, J. D., & Crews, C. M. (2015) · ACS Chemical Biology · doi:10.1021/acschembio.5b00442 · Cited by 488 · see citing works
Electrophilic PROTACs that degrade nuclear proteins by engaging DCAF16
Zhang, X., Crowley, V. M., Wucherpfennig, T. G., Dix, M. M., & Cravatt, B. F. (2019) · Nature Chemical Biology · doi:10.1038/s41589-019-0279-5 · Cited by 487 · see citing works
A Chemoproteomic Approach to Query the Degradable Kinome Using a Multi-kinase Degrader
Huang, H.-T., Dobrovolsky, D., Paulk, J., Yang, G., Weisberg, E. L., Doctor, Z. M., Buckley, D. L., Cho, J.-H., Ko, E., Jang, J., et al. (2018) · Cell Chemical Biology · doi:10.1016/j.chembiol.2017.10.005 · Cited by 437 · see citing works
Development of Protacs to Target Cancer-promoting Proteins for Ubiquitination and Degradation
Sakamoto, K. M., Kim, K. B., Verma, R., Ransick, A., Stein, B., Crews, C. M., & Deshaies, R. J. (2003) · Molecular & Cellular Proteomics · doi:10.1074/mcp.t300009-mcp200 · Cited by 425 · see citing works
Galdeano, C., Gadd, M. S., Soares, P., Scaffidi, S., Molle, I. V., Birced, I., Hewitt, S. H., Dias, D. M. G., & Ciulli, A. (2014) · Journal of Medicinal Chemistry · doi:10.1021/jm5011258 · Cited by 424 · see citing works
Delineating the role of cooperativity in the design of potent PROTACs for BTK
Zorba, A., Nguyen, C., Xu, Y., Starr, J., Borzilleri, K., Smith, J., Zhu, H., Farley, K. A., Ding, W., Schiemer, J., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1803662115 · Cited by 419 · see citing works
Conformer Generation with OMEGA: Learning from the Data Set and the Analysis of Failures
Hawkins, P. C. D., & Nicholls, A. O. (2012) · Journal of Chemical Information and Modeling · doi:10.1021/ci300314k · Cited by 405 · see citing works
Buhimschi, A. D., Armstrong, H. A., Toure, M., Jaime-Figueroa, S., Chen, T. L., Lehman, A. M., Woyach, J. A., Johnson, A. J., Byrd, J. C., & Crews, C. M. (2018) · Biochemistry · doi:10.1021/acs.biochem.8b00391 · Cited by 394 · see citing works
SPR-measured dissociation kinetics of PROTAC ternary complexes influence target degradation rate
Roy, M. J., Winkler, S., Hughes, S. J., Whitworth, C., Galant, M., Farnaby, W., Rumpel, K., & Ciulli, A. (2019) · ACS Chemical Biology · doi:10.1021/acschembio.9b00092 · Cited by 386 · see citing works
Zhang, L., Riley-Gillis, B., Vijay, P., & Shen, Y. (2019) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-18-1129 · Cited by 365 · see citing works
Qian, F., Engst, S., Yamaguchi, K., Yu, P., Won, K.-A., Mock, L., Lou, T., Tan, J., Li, C., Tam, D., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-4889 · Cited by 350 · see citing works
Zoppi, V., Hughes, S. J., Maniaci, C., Testa, A., Gmaschitz, T., Wieshofer, C., Koegl, M., Riching, K. M., Daniels, D. L., Spallarossa, A., et al. (2019) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b01413 · Cited by 336 · see citing works
Ward, C. C., Kleinman, J. I., Brittain, S. M., Lee, P. S., Chung, C. Y. S., Kim, K., Petri, Y., Thomas, J. R., Tallarico, J. A., McKenna, J. M., et al. (2019) · ACS Chemical Biology · doi:10.1021/acschembio.8b01083 · Cited by 336 · see citing works
Lu, M., Liu, T., Jiao, Q., Ji, J., Tao, M., Liu, Y., You, Q., & Jiang, Z. (2018) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2018.01.063 · Cited by 310 · see citing works
Quantitative Live-Cell Kinetic Degradation and Mechanistic Profiling of PROTAC Mode of Action
Riching, K. M., Mahan, S. D., Corona, C. R., McDougall, M. G., Vasta, J. D., Robers, M. B., Urh, M., & Daniels, D. L. (2018) · ACS Chemical Biology · doi:10.1021/acschembio.8b00692 · Cited by 307 · see citing works
Sun, Y., Zhao, X., Ding, N., Gao, H., Wu, Y., Yang, Y., Zhao, M., Hwang, J., Song, Y., Liu, W., et al. (2018) · Cell Research · doi:10.1038/s41422-018-0055-1 · Cited by 295 · see citing works
Addressing Kinase-Independent Functions of Fak via PROTAC-Mediated Degradation
Cromm, P. M., Samarasinghe, K. T. G., Hines, J., & Crews, C. M. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b08008 · Cited by 293 · see citing works
Qin, C., Hu, Y., Zhou, B., Fernandez-Salas, E., Yang, C.-Y., Liu, L., McEachern, D., Przybranowski, S., Wang, M., Stuckey, J., et al. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b00506 · Cited by 281 · see citing works
Development of dual and selective degraders of cyclin-dependent kinases 4 and 6
Jiang, B., Wang, E. S., Donovan, K. A., Liang, Y., Fischer, E. S., Zhang, T., & Gray, N. S. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201901336 · Cited by 272 · see citing works
Deep Generative Models for 3D Linker Design
Imrie, F., Bradley, A. R., van der Schaar, M., & Deane, C. M. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.9b01120 · Cited by 268 · see citing works
Modeling and docking of antibody structures with Rosetta
Weitzner, B. D., Jeliazkov, J. R., Lyskov, S., Marze, N. A., Kuroda, D., Frick, R., Adolf‐Bryfogle, J., Biswas, N., Dunbrack, R. L., & Gray, J. J. (2017) · Nature Protocols · doi:10.1038/nprot.2016.180 · Cited by 266 · see citing works
Homolog-Selective Degradation as a Strategy to Probe the Function of CDK6 in AML
Brand, M., Jiang, B., Bauer, S., Donovan, K. A., Liang, Y., Wang, E. S., Nowak, R. P., Yuan, J. C., Zhang, T., Kwiatkowski, N., et al. (2019) · Cell Chemical Biology · doi:10.1016/j.chembiol.2018.11.006 · Cited by 258 · see citing works
Crew, A. P., Raina, K., Dong, H., Qian, Y., Wang, J., Vigil, D., Serebrenik, Y. V., Hamman, B. D., Morgan, A., Ferraro, C., et al. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b00635 · Cited by 257 · see citing works
Specific Knockdown of Endogenous Tau Protein by Peptide-Directed Ubiquitin-Proteasome Degradation
Chu, T.-T., Gao, N., Li, Q.-Q., Chen, P.-G., Yang, X.-F., Chen, Y.-X., Zhao, Y.-F., & Li, Y.-M. (2016) · Cell Chemical Biology · doi:10.1016/j.chembiol.2016.02.016 · Cited by 247 · see citing works
Hughes, S. J., & Ciulli, A. (2017) · Essays in Biochemistry · doi:10.1042/ebc20170041 · Cited by 240 · see citing works
Impact of linker length on the activity of PROTACs
Cyrus, K., Wehenkel, M., Choi, E.-Y., Han, H.-J., Lee, H., Swanson, H., & Kim, K.-B. (2010) · Molecular BioSystems · doi:10.1039/c0mb00074d · Cited by 232 · see citing works
Proteolysis Targeting Chimeras (PROTACs) of Anaplastic Lymphoma Kinase (ALK)
Zhang, C., Han, X.-R., Yang, X., Jiang, B., Liu, J., Xiong, Y., & Jin, J. (2018) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2018.03.071 · Cited by 226 · see citing works
PRosettaC: Rosetta Based Modeling of PROTAC Mediated Ternary Complexes
Zaidman, D., Prilusky, J., & London, N. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c00589 · Cited by 224 · see citing works
Functional TRIM24 degrader via conjugation of ineffectual bromodomain and VHL ligands
Gechijian, L. N., Buckley, D. L., Lawlor, M. A., Reyes, J. M., Paulk, J., Ott, C. J., Winter, G. E., Erb, M. A., Scott, T. G., Xu, M., et al. (2018) · Nature Chemical Biology · doi:10.1038/s41589-018-0010-y · Cited by 222 · see citing works
Chemically induced degradation of CDK9 by a proteolysis targeting chimera (PROTAC)
Robb, C. M., Contreras, J. I., Kour, S., Taylor, M., Abid, M., Sonawane, Y. A., Zahid, M., Murry, D. J., Natarajan, A., & Rana, S. (2017) · Chemical Communications · doi:10.1039/c7cc03879h · Cited by 221 · see citing works
Targeting steroid hormone receptors for ubiquitination and degradation in breast and prostate cancer
Rodrı́guez-González, A., Cyrus, K., Salcius, M., Kim, K., Crews, C. M., Deshaies, R. J., & Sakamoto, K. M. (2008) · Oncogene · doi:10.1038/onc.2008.320 · Cited by 211 · see citing works
<i>In Silico</i> Modeling of PROTAC-Mediated Ternary Complexes: Validation and Application
Drummond, M. L., & Williams, C. I. (2019) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.8b00872 · Cited by 199 · see citing works
Chemically Induced Degradation of Anaplastic Lymphoma Kinase (ALK)
Powell, C. E., Gao, Y., Tan, L., Donovan, K. A., Nowak, R. P., Loehr, A., Bahcall, M., Fischer, E. S., Jänne, P. A., George, R. E., et al. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b01655 · Cited by 198 · see citing works
PROTAC-Mediated Degradation of Bruton’s Tyrosine Kinase Is Inhibited by Covalent Binding
Tinworth, C. P., Lithgow, H., Dittus, L., Bassi, Z. I., Hughes, S. E., Muelbaier, M., Dai, H., Smith, I. E. D., Kerr, W. J., Burley, G. A., et al. (2019) · ACS Chemical Biology · doi:10.1021/acschembio.8b01094 · Cited by 195 · see citing works
Induction of apoptosis in MDA-MB-231 breast cancer cells by a PARP1-targeting PROTAC small molecule
Zhao, Q., Lan, T., Su, S., & Rao, Y. (2018) · Chemical Communications · doi:10.1039/c8cc07813k · Cited by 185 · see citing works
Assessing Different E3 Ligases for Small Molecule Induced Protein Ubiquitination and Degradation
Ottis, P., Toure, M., Cromm, P. M., Ko, E., Gustafson, J. L., & Crews, C. M. (2017) · ACS Chemical Biology · doi:10.1021/acschembio.7b00485 · Cited by 176 · see citing works
Burslem, G. M., Song, J., Chen, X., Hines, J., & Crews, C. M. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b10320 · Cited by 176 · see citing works
A Structurally-Validated Multiple Sequence Alignment of 497 Human Protein Kinase Domains
Modi, V., & Dunbrack, R. L. (2019) · Scientific Reports · doi:10.1038/s41598-019-56499-4 · Cited by 171 · see citing works
Drummond, M. L., Henry, A., Li, H., & Williams, C. I. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c00897 · Cited by 166 · see citing works
SyntaLinker: automatic fragment linking with deep conditional transformer neural networks
Yang, Y., Zheng, S., Su, S., Zhao, C., Xu, J., & Chen, H. (2020) · Chemical Science · doi:10.1039/d0sc03126g · Cited by 149 · see citing works
Steinebach, C., Ng, Y. L. D., Sosič, I., Lee, C.-S., Chen, S., Lindner, S., Vu, L. P., Bricelj, A., Haschemi, R., Monschke, M., et al. (2020) · Chemical Science · doi:10.1039/d0sc00167h · Cited by 148 · see citing works
Discovery of Wogonin-based PROTACs against CDK9 and capable of achieving antitumor activity
Bian, J., Ren, J., Li, Y., Wang, J., Xu, X., Feng, Y., Tang, H., Wang, Y., & Li, Z. (2018) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2018.08.028 · Cited by 140 · see citing works
Selective degradation of CDK6 by a palbociclib based PROTAC
Rana, S., Bendjennat, M., Kour, S., King, H. M., Kizhake, S., Zahid, M., & Natarajan, A. (2019) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2019.03.035 · Cited by 135 · see citing works
Targeting IRAK4 for Degradation with PROTACs
Nunes, J., McGonagle, G. A., Eden, J., Kiritharan, G., Touzet, M., Lewell, X., Emery, J., Eidam, H., Harling, J. D., & Anderson, N. A. (2019) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.9b00219 · Cited by 134 · see citing works
p63 is a cereblon substrate involved in thalidomide teratogenicity
Asatsuma-Okumura, T., Ando, H., De Simone, M., Yamamoto, J., Sato, T., Shimizu, N., Asakawa, K., Yamaguchi, Y., Ito, T., Guerrini, L., et al. (2019) · Nature Chemical Biology · doi:10.1038/s41589-019-0366-7 · Cited by 134 · see citing works
Kang, C. H., Lee, D.-H., Lee, C. O., Ha, J. D., Park, C. H., & Hwang, J. Y. (2018) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2018.09.169 · Cited by 126 · see citing works
Snapshots and ensembles of BTK and cIAP1 protein degrader ternary complexes
Schiemer, J., Horst, R., Meng, Y., Montgomery, J. I., Xu, Y., Feng, X., Borzilleri, K., Uccello, D. P., Leverett, C., Brown, S., et al. (2021) · Nature Chemical Biology · doi:10.1038/s41589-020-00686-2 · Cited by 113 · see citing works
Viral Modulators of Cullin RING Ubiquitin Ligases: Culling the Host Defense
Barry, M. K., & Früh, K. (2006) · Science s STKE · doi:10.1126/stke.3352006pe21 · Cited by 103 · see citing works
Park, H., Zhou, G., Baek, M., Baker, D. A., & DiMaio, F. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.0c01184 · Cited by 100 · see citing works
Cyrus, K., Wehenkel, M., Choi, E., Lee, H., Swanson, H. I., & Kim, K. (2010) · ChemMedChem · doi:10.1002/cmdc.201000146 · Cited by 91 · see citing works
Foley, C. A., Potjewyd, F., Lamb, K. N., James, L. I., & Frye, S. V. (2020) · ACS Chemical Biology · doi:10.1021/acschembio.9b00972 · Cited by 89 · see citing works
Optimization of Gaussian surface calculations and extension to solvent-accessible surface areas
Weiser, J., Shenkin, P. S., & Still, W. C. (1999) · Journal of Computational Chemistry · doi:10.1002/(sici)1096-987x(199905)20:7 · Cited by 76 · see citing works
Selective CDK6 degradation mediated by cereblon, VHL, and novel IAP-recruiting PROTACs
Anderson, N. A., Cryan, J., Ahmed, A., Dai, H., McGonagle, G. A., Rozier, C., & Benowitz, A. B. (2020) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2020.127106 · Cited by 69 · see citing works
A MedChem toolbox for cereblon-directed PROTACs
Steinebach, C., Sosič, I., Lindner, S., Bricelj, A., Kohl, F., Ng, Y. L. D., Monschke, M., Wagner, K. G., Krönke, J., & Gütschow, M. (2019) · MedChemComm · doi:10.1039/c9md00185a · Cited by 66 · see citing works
New Class of Selective Estrogen Receptor Degraders (SERDs): Expanding the Toolbox of PROTAC Degrons
Wang, L., Guillen, V. S., Sharma, N., Flessa, K., Min, J., Carlson, K. E., Toy, W., Braqi, S., Katzenellenbogen, B. S., Katzenellenbogen, J. A., et al. (2018) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.8b00106 · Cited by 59 · see citing works
Chemical Proteomics and Structural Biology Define EPHA2 Inhibition by Clinical Kinase Drugs
Heinzlmeir, S., Kudlinzki, D., Sreeramulu, S., Klaeger, S., Gande, S. L., Linhard, V., Wilhelm, M., Qiao, H., Helm, D., Ruprecht, B., et al. (2016) · ACS Chemical Biology · doi:10.1021/acschembio.6b00709 · Cited by 56 · see citing works
Chen, H., Chen, F., Liu, N., Wang, X., & Gou, S. (2018) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2018.09.005 · Cited by 51 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Schiemer J., 2020, Nat. Chem. Biol., 1
- Park H., 2020, bioRxiv
Cited by
Sorted by citations
Protein degraders enter the clinic — a new approach to cancer therapy
Chirnomas, D., Hornberger, K. R., & Crews, C. M. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00736-3 · Cited by 658 · see citing works
Current strategies for the design of PROTAC linkers: a critical review
Troup, R. I., Fallan, C., & Baud, M. G. J. (2020) · Exploration of Targeted Anti-tumor Therapy · doi:10.37349/etat.2020.00018 · Cited by 424 · see citing works
Chemistries of bifunctional PROTAC degraders
Cao, C., He, M., Wang, L., He, Y., & Rao, Y. (2022) · Chemical Society Reviews · doi:10.1039/d2cs00220e · Cited by 313 · see citing works
PRosettaC: Rosetta Based Modeling of PROTAC Mediated Ternary Complexes
Zaidman, D., Prilusky, J., & London, N. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c00589 · Cited by 224 · see citing works
Chasing molecular glue degraders: screening approaches
Domostegui, A., Nieto-Barrado, L., Perez-Lopez, C., & Mayor-Ruiz, C. (2022) · Chemical Society Reviews · doi:10.1039/d2cs00197g · Cited by 200 · see citing works
Drummond, M. L., Henry, A., Li, H., & Williams, C. I. (2020) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.0c00897 · Cited by 166 · see citing works
Amide-to-Ester Substitution as a Strategy for Optimizing PROTAC Permeability and Cellular Activity
Klein, V. G., Bond, A. G., Craigon, C., Lokey, R. S., & Ciulli, A. (2021) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01496 · Cited by 152 · see citing works
Functional E3 ligase hotspots and resistance mechanisms to small-molecule degraders
Hanzl, A., Casement, R., Imrichova, H., Hughes, S. J., Barone, E., Testa, A., Bauer, S., Wright, J., Brand, M., Ciulli, A., et al. (2023) · Nature Chemical Biology · doi:10.1038/s41589-022-01177-2 · Cited by 133 · see citing works
Integrative Modeling of PROTAC-Mediated Ternary Complexes
Weng, G., Li, D., Kang, Y., & Hou, T. (2021) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.1c01576 · Cited by 130 · see citing works
Efficient targeted oncogenic KRASG12C degradation via first reversible-covalent PROTAC
Yang, F., Wen, Y., Wang, C., Zhou, Y., Zhou, Y., Zhang, Z.-M., Liu, T., & Lu, X. (2022) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2021.114088 · Cited by 109 · see citing works
Bai, N., Riching, K. M., Makaju, A., Wu, H., Acker, T. M., Ou, S.-C., Zhang, Y., Shen, X., Bulloch, D. N., Rui, H., et al. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.101653 · Cited by 77 · see citing works
Self-citationAllostery: Allosteric Cancer Drivers and Innovative Allosteric Drugs
Nussinov, R., Zhang, M., Maloney, R., Liu, Y., Tsai, C.-J., & Jang, H. (2022) · Journal of Molecular Biology · doi:10.1016/j.jmb.2022.167569 · Cited by 66 · see citing works
Li, W., Zhang, J., Guo, L., & Wang, Q. (2022) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.1c01150 · Cited by 63 · see citing works
Eron, S. J., Huang, H., Agafonov, R. V., Fitzgerald, M. E., Patel, J., Michael, R. E., Lee, T. D., Hart, A. A., Shaulsky, J., Nasveschuk, C. G., et al. (2021) · ACS Chemical Biology · doi:10.1021/acschembio.1c00376 · Cited by 57 · see citing works
Unifying Catalysis Framework to Dissect Proteasomal Degradation Paradigms
Rodriguez-Rivera, F. P., & Levi, S. M. (2021) · ACS Central Science · doi:10.1021/acscentsci.1c00389 · Cited by 30 · see citing works
Dixon, T., MacPherson, D., Mostofian, B., Dauzhenka, T., Lotz, S., McGee, D., Shechter, S., Shrestha, U. R., Wiewiora, R., McDargh, Z. A., et al. (2021) · doi:10.1101/2021.09.26.461830 · Cited by 7 · see citing works
- Authors
- Bai, N., Miller, S. A., Andrianov, G. V., Yates, M., Kirubakaran, P., & Karanicolas, J.
- Affiliations
- Fox Chase Cancer Center (US)
- Corresponding author
- Karanicolas, John
- Venue
- Journal of Chemical Information and Modeling
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-02-24
- Volume
- 61
- Issue
- 3
- Pages
- 1368-1382
- ISSN
- 1549-9596 (ISSN-L)
- 1549-960X
- PMC
- PMC8866032
- OpenAlex
- W3130894852
- Cited by
- 157
- References
- 83
- Citations by year
- 2026: 23 · 2025: 28 · 2024: 25 · 2023: 27 · 2022: 33 · 2021: 17 · 2020: 4
- FWCI
- 8.23
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Journal of Chemical Information and Modeling (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation (CHE-1836950, DBI-1950697)
- U.S. Department of Health and Human Services (P30CA006927, R01GM123336)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
- Keywords
- PROTACs, ternary complex formation, E3 ubiquitin ligase, structure-based design, protein-protein docking, protein degradation
- MeSH terms
- Retrospective Studies, Ubiquitin-Protein Ligases, Proteolysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review