The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Chemical and Computational Methods for the Characterization of Covalent Reactive Groups for the Prospective Design of Irreversible Inhibitors
Abstract
Interest in drugs that covalently modify their target is driven by the desire for enhanced efficacy that can result from the silencing of enzymatic activity until protein resynthesis can occur, along with the potential for increased selectivity by targeting uniquely positioned nucleophilic residues in the protein. However, covalent approaches carry additional risk for toxicities or hypersensitivity reactions that can result from covalent modification of unintended targets. Here we describe methods for measuring the reactivity of covalent reactive groups (CRGs) with a biologically relevant nucleophile, glutathione (GSH), along with kinetic data for a broad array of electrophiles. We also describe a computational method for predicting electrophilic reactivity, which taken together can be applied to the prospective design of thiol-reactive covalent inhibitors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Marenich, A. V., Cramer, C. J., & Truhlar, D. G. (2009) · The Journal of Physical Chemistry B · doi:10.1021/jp810292n · Cited by 17,843
Semianalytical treatment of solvation for molecular mechanics and dynamics
Still, W. C., Tempczyk, A., Hawley, R. C., & Hendrickson, T. (1990) · Journal of the American Chemical Society · doi:10.1021/ja00172a038 · Cited by 3,643
The resurgence of covalent drugs
Singh, J., Petter, R. C., Baillie, T. A., & Whitty, A. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3410 · Cited by 1,873
Andersson, M. P., & Uvdal, P. (2005) · The Journal of Physical Chemistry A · doi:10.1021/jp045733a · Cited by 1,659
Integrated Modeling Program, Applied Chemical Theory (IMPACT)
Banks, J. L., Beard, H. S., Cao, Y., Cho, A. E., Damm, W., Farid, R., Felts, A. K., Halgren, T. A., Mainz, D. T., Maple, J. R., et al. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20292 · Cited by 1,483
Developing Irreversible Inhibitors of the Protein Kinase Cysteinome
Liu, Q., Sabnis, Y., Zhao, Z., Zhang, T., Buhrlage, S. J., Jones, L. H., & Gray, N. S. (2013) · Chemistry & Biology · doi:10.1016/j.chembiol.2012.12.006 · Cited by 652
Strategies for Discovering and Derisking Covalent, Irreversible Enzyme Inhibitors
Johnson, D. S., Weerapana, E., & Cravatt, B. F. (2010) · Future Medicinal Chemistry · doi:10.4155/fmc.10.21 · Cited by 387
A road map to evaluate the proteome-wide selectivity of covalent kinase inhibitors
Lanning, B. R., Whitby, L. R., Dix, M. M., Douhan, J., Gilbert, A. M., Hett, E. C., Johnson, T. O., Joslyn, C., Kath, J. C., Niessen, S., et al. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1582 · Cited by 359
Self-citationSystematic Modulation of Michael-Type Reactivity of Thiols through the Use of Charged Amino Acids
Lutolf, M. P., Tirelli, N., Cerritelli, S., Cavalli, L., & Hubbell, J. A. (2001) · Bioconjugate Chemistry · doi:10.1021/bc015519e · Cited by 355
Covalent Modifiers: An Orthogonal Approach to Drug Design
Potashman, M. H., & Duggan, M. E. (2009) · Journal of Medicinal Chemistry · doi:10.1021/jm8008597 · Cited by 346
Cited by
The Essential Medicinal Chemistry of Curcumin
Nelson, K. M., Dahlin, J. L., Bisson, J., Graham, J., Pauli, G. F., & Walters, M. A. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b00975 · Cited by 1,956
Advances in covalent drug discovery
Boike, L., Henning, N. J., & Nomura, D. K. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00542-z · Cited by 823
Jackson, P. A., Widen, J. C., Harki, D. A., & Brummond, K. M. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b00788 · Cited by 588
Targeted Covalent Inhibitors for Drug Design
Baillie, T. A. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201601091 · Cited by 578
A Perspective on the Kinetics of Covalent and Irreversible Inhibition
Strelow, J. M. (2017) · SLAS Discovery · doi:10.1177/1087057116671509 · Cited by 392
Structure-based design of targeted covalent inhibitors
Lonsdale, R., & Ward, R. A. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00220c · Cited by 344
The emerging role of mass spectrometry-based proteomics in drug discovery
Meissner, F., Geddes-McAlister, J., Mann, M., & Bantscheff, M. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00409-3 · Cited by 341
Rapid Covalent-Probe Discovery by Electrophile-Fragment Screening
Resnick, E., Bradley, A., Gan, J., Douangamath, A., Krojer, T., Sethi, R., Geurink, P. P., Aimon, A., Amitai, G., Bellini, D., et al. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b02822 · Cited by 335
Covalent inhibitors design and discovery.
De Cesco, S., Kurian, J., Dufresne, C., Mittermaier, A. K., & Moitessier, N. (2017) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2017.06.019 · Cited by 315
Expanding the Armory: Predicting and Tuning Covalent Warhead Reactivity
Lonsdale, R., Burgess, J., Colclough, N., Davies, N. L., Lenz, E. M., Orton, A. L., & Ward, R. A. (2017) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.7b00553 · Cited by 190
Thorarensen, A., Dowty, M. E., Banker, M. E., Juba, B., Jussif, J., Lin, T., Vincent, F., Czerwinski, R. M., Casimiro-Garcia, A., Unwalla, R., et al. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b01694 · Cited by 176
Self-citationDevelopment of Selective Covalent Janus Kinase 3 Inhibitors
Tan, L., Akahane, K., McNally, R., Reyskens, K. M. S. E., Ficarro, S. B., Liu, S., Herter-Sprie, G. S., Koyama, S., Pattison, M. J., Labella, K., et al. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b00710 · Cited by 122
Shin, Y., Jeong, J. W., Wurz, R. P., Achanta, P., Arvedson, T., Bartberger, M. D., Campuzano, I. D. G., Fucini, R., Hansen, S. K., Ingersoll, J., et al. (2019) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.9b00258 · Cited by 113
New Electrophiles and Strategies for Mechanism-Based and Targeted Covalent Inhibitor Design
Ray, S., & Murkin, A. S. (2019) · Biochemistry · doi:10.1021/acs.biochem.9b00293 · Cited by 108
A Small Molecule Reacts with the p53 Somatic Mutant Y220C to Rescue Wild-type Thermal Stability
Guiley, K. Z., & Shokat, K. M. (2023) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0381 · Cited by 102
Covalent targeting of acquired cysteines in cancer
Visscher, M., Arkin, M. R., & Dansen, T. B. (2016) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2015.11.004 · Cited by 95
High‐Throughput Kinetic Analysis for Target‐Directed Covalent Ligand Discovery
Craven, G. B., Affron, D. P., Allen, C. E., Matthies, S., Greener, J. G., Morgan, R. M. L., Tate, E. W., Armstrong, A., & Mann, D. J. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201711825 · Cited by 73
Designing Irreversible Inhibitors—Worth the Effort?
González‐Bello, C. (2016) · ChemMedChem · doi:10.1002/cmdc.201500469 · Cited by 74
Covalent Guanosine Mimetic Inhibitors of G12C KRAS
Xiong, Y., Lu, J., Hunter, J., Li, L., Scott, D., Choi, H. G., Lim, S. M., Manandhar, A., Gondi, S., Sim, T., et al. (2017) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.6b00373 · Cited by 66
Development of covalent inhibitors: Principle, design, and application in cancer
Zheng, L., Li, Y., Wu, D., Xiao, H., Zheng, S., Wang, G., & Sun, Q. (2023) · MedComm – Oncology · doi:10.1002/mog2.56 · Cited by 71
Toward Atomistic Modeling of Irreversible Covalent Inhibitor Binding Kinetics
Yu, H. S., Gao, C., Lupyan, D., Wu, Y., Kimura, T., Wu, C., Jacobson, L., Harder, E., Abel, R., & Wang, L. (2019) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.9b00268 · Cited by 39
Self-citationDiscovery of highly potent, selective, covalent inhibitors of JAK3
Kempson, J., Ovalle, D., Guo, J., Wrobleski, S. T., Lin, S., Spergel, S. H., Duan, J. J.-W., Jiang, B., Lu, Z., Das, J., et al. (2017) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2017.09.023 · Cited by 32
Selective Covalent Targeting of Pyruvate Kinase M2 Using Arsenous Warheads
Wang, J., Zhou, S., Cheng, Y., Cheng, L., Qin, Y., Zhang, Z., Bi, A., Xiang, H., He, X., Tian, X., et al. (2023) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.2c01563 · Cited by 18
Metadata
- Authors
- Flanagan, M. E., Abramite, J. A., Anderson, D. P., Aulabaugh, A., Dahal, U. P., Gilbert, A. M., Li, C., Montgomery, J., Oppenheimer, S. R., Ryder, T., Schuff, B. P., Uccello, D. P., Walker, G. S., Wu, Y., Brown, M. F., Chen, J. M., Hayward, M. M., Noe, M. C., Obach, R. S., Philippe, L., Shanmugasundaram, V., Shapiro, M. J., Starr, J., Stroh, J., & Che, Y.
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-11-26
- Volume
- 57
- Issue
- 23
- Pages
- 10072-10079
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W2322586343
- Cited by
- 320
- References
- 35
- FWCI
- 9.11
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.