Discovery and characterization of small molecules that target the GTPase Ral
Open accessAbstract
The Ras-like GTPases RalA and RalB are important drivers of tumour growth and metastasis. Chemicals that block Ral function would be valuable as research tools and for cancer therapeutics. Here we used protein structure analysis and virtual screening to identify drug-like molecules that bind to a site on the GDP-bound form of Ral. The compounds RBC6, RBC8 and RBC10 inhibited the binding of Ral to its effector RALBP1, as well as inhibiting Ral-mediated cell spreading of murine embryonic fibroblasts and anchorage-independent growth of human cancer cell lines. The binding of the RBC8 derivative BQU57 to RalB was confirmed by isothermal titration calorimetry, surface plasmon resonance and 1H–15N transverse relaxation-optimized spectroscopy (TROSY) NMR spectroscopy. RBC8 and BQU57 show selectivity for Ral relative to the GTPases Ras and RhoA and inhibit tumour xenograft growth to a similar extent to the depletion of Ral using RNA interference. Our results show the utility of structure-based discovery for the development of therapeutics for Ral-dependent cancers.
AI snapshot
Written from the paper’s full text.
TL;DR
Structure-based virtual screening identified small molecules that bind the GDP-bound form of Ral GTPases and inhibit Ral signaling, cell growth, and xenograft tumor growth. RBC8 and its derivative BQU57 act selectively through RalA/RalB and show efficacy in Ral-dependent lung cancer models.
Key findings
- Docking 500,000 ChemDiv compounds to an allosteric site on RalA-GDP yielded 88 candidates; RBC6, RBC8, and RBC10 inhibited RalA activation in cells, Ral-dependent MEF spreading, and anchorage-independent growth, while RBC5, RBC7, and RBC42 were inactive controls.
- BQU57 bound RalB-GDP with KD = 7.7 ± 0.6 μM by ITC and KD = 4.7 ± 1.5 μM by SPR; RBC8 and BQU57 showed selectivity for Ral over Ras and RhoA and did not bind RalB-GNP.
- In soft agar, RBC8 IC50 was 3.5 μM in H2122 and 3.4 μM in H358; BQU57 IC50 was 2.0 μM in H2122 and 1.3 μM in H358. Ral-dependent lines H2122 and H358 were sensitive, whereas H460 and Calu6 were not.
- In H2122 xenografts, RBC8 at 50 mg/kg/d for 21 days inhibited tumor growth similarly to dual RalA/RalB knockdown; BQU57 showed dose-dependent inhibition at 10, 20, and 50 mg/kg/d, and both compounds inhibited RalA/RalB but not Ras or RhoA activity in tumors.
Methods
- Structure-based virtual screening: compared RalA-GDP, RalA-GNP-exo84, and RalA-GNP-sec5 structures to identify an allosteric site; docked 500,000 ChemDiv compounds into RalA-GDP and selected 88 for testing.
- Cell-based assays: RalA activity ELISA in J82 cells expressing FLAG-RalA; MEF spreading in wild-type versus Cav1−/− cells; soft agar colony formation in H2122, H358, H460, and Calu6 cells, including siRNA knockdown and constitutively active RalAG23V/RalBG23V rescue.
- Biophysical and in vivo methods: 15N-HSQC NMR, ITC, and SPR for binding; LC-MS/MS for cellular uptake and pharmacokinetics; nude mouse xenografts with H2122 or H358 cells; RalBP1, Ras, and RhoA pull-down assays for activity.
Limitations
- The paper states that additional medicinal chemistry optimization is required and describes the compounds as a first generation of tools.
- The paper states that no RalB-GDP crystal structure is available, so a homology model was used and docking could not be performed on RalB-GDP; RalB-GDP binding was instead assessed by NMR.
- The paper notes that mouse randomization was done but no blinding was performed; stable overexpression of FLAG-RalAG23V or FLAG-RalBG23V in H2122 cells was unsuccessful, so those rescue experiments used transient transfection.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
14 of 23 cited sources checked · 6 supported · 1 flagged · accuracy not yet measured
- Premisecitation
Genetically engineered mouse models revealed substantial redundancy for Ral proteins in tumorigenesis.
“genetically engineered mouse models revealed substantial redundancy for Ral proteins in tumorigenesis12.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [12] Peschard, P. et al. Genetic deletion of RALA and RALB small GTPases reveals redundant functions in development and tumorigenesis. Curr. Biol. 22, 2063–2068 (2012) source
- Premisecitation
Active Ral activates cellular processes through effectors including RalBP1, Sec5/Exo85, filamin, and phospholipase D1.
“Active Ral activates cellular processes through effectors including Ral Binding Protein 1 (RalBP1, RLIP76 or RIP17), Sec5/Exo85, filamin, and phospholipase D18–10.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [7] Awasthi, S., Sharma, R., Singhal, S. S., Zimniak, P. & Awasthi, Y. C. RLIP76, a novel transporter catalyzing ATP-dependent efflux of xenobiotics. Drug Metab. Dispos. 30, 1300–1310 (2002) source
- cites [8] Oxford, G. et al. RalA and RalB: antagonistic relatives in cancer cell migration. Cancer Res. 65, 7111–7120 (2005) source
- cites [9] Lim, K. H. et al. Activation of RalA is critical for Ras-induced tumorigenesis of human cells. Cancer Cell 7, 533–545 (2005) source
The passages on RalA effector binding identify RalBP1, filamin, PLD1, and the exocyst subunits Sec5 and Exo84. The claim says “Sec5/Exo85,” but our copy names Exo84, not Exo85. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationcitation
The proximity of this site to the C3bot binding site supports the notion that small molecule occupancy at this site could inhibit function.
“Its proximity to the previously described C3bot binding site17 supports the notion that small molecule occupancy at this site could inhibit function.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [17] Pautsch, A., Vogelsgesang, M., Trankle, J., Herrmann, C. & Aktories, K. Crystal structure of the C3bot–RalA complex reveals a novel type of action of a bacterial exoenzyme. EMBO J. 24, 3670–3680 (2005) source
- Findingown data
Overexpression of constitutively active RalAG23V or RalBG23V, which do not bind these compounds, mitigated inhibition of H2122 and H358 cell growth by these compounds.
“Lastly, overexpression of a constitutively active (GTP-form22) RalAG23V or RalBG23V, which do not bind these compounds (Extended Data Fig. 3d, 4b), mitigated inhibition of H2122 and H358 cell growth by these compounds (Fig. 3g–j, Extended Data Fig. 6f).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [22] Hinoi, T. et al. Post-translational modifications of Ras and Ral are important for the action of Ral GDP dissociation stimulator. J. Biol. Chem. 271, 19710–19716 (1996) source
- Premisecitation
Ral promotes anchorage-independence.
“Ral promotes anchorage-independence1,20, therefore we measured cell growth in soft agar.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [1] Lim, K. H. et al. Divergent roles for RalA and RalB in malignant growth of human pancreatic carcinoma cells. Curr. Biol. 16, 2385–2394 (2006) source
The passage labeled Abstract reports that suppressing RalA impaired anchorage-independent growth in nine of ten pancreatic cancer cell lines. It also reports that suppressing RalB did not impair soft-agar growth, so the unqualified claim about Ral is broader than this paper supports. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [20] Balasubramanian, N. et al. RalA–exocyst complex regulates integrin-dependent membrane raft exocytosis and growth signaling. Curr. Biol. 20, 75–79 (2010) source
- Premisecitation
RalA and RalB are important drivers of the proliferation, survival and metastasis of multiple human cancers including skin, lung, pancreatic, colon, prostate, and bladder.
“RalA and RalB are important drivers of the proliferation, survival and metastasis of multiple human cancers including skin11, lung12, pancreatic1, colon13, prostate14, and bladder15,16.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [1] Lim, K. H. et al. Divergent roles for RalA and RalB in malignant growth of human pancreatic carcinoma cells. Curr. Biol. 16, 2385–2394 (2006) source
The Results and Discussion (page unavailable) support roles for both RalA and RalB in metastatic growth of pancreatic cancer cells, but distinguish their functions: RalA, not RalB, was required for transformed and tumorigenic growth. The Discussion treats RalB’s role in survival as a possible explanation for its effect on metastasis, not an established finding in these pancreatic cells. This citation is attached to pancreatic cancer, so the other cancer types in the sentence are not assessed here. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [11] Zipfel, P. A. et al. Ral activation promotes melanomagenesis. Oncogene 29, 4859–4864 (2010) source
The citation is attached to “skin.” In the melanoma findings (indexed as Abstract; page unavailable), knockdown of RalA reduced tumor growth in all tested human melanoma cell lines and knockdown of RalB did so in half, supporting a role in skin-cancer growth. The paper reports no significant change in measured proliferation after either knockdown and does not establish melanoma survival or metastasis effects. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [12] Peschard, P. et al. Genetic deletion of RALA and RALB small GTPases reveals redundant functions in development and tumorigenesis. Curr. Biol. 22, 2063–2068 (2012) source
The Results and Discussion (page unavailable) reports RNAi studies in human pancreatic cancer cell models suggesting that RALA is required for proliferation and RALB for survival and migration. This supports the pancreatic-cancer portion of the citation, but the paper does not establish metastasis in pancreatic cancer; it describes migration and invasion instead. Its pancreatic mouse-model observation also found that deleting either gene alone did not impair tumor formation. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Findingown data
Cell-based secondary screening identified RBC6, RBC8 and RBC10 as lead compounds for Ral inhibition.
“Cell-based secondary screening identified RBC6, 8 and 10 as lead compounds for Ral inhibition”
Quote in the paperSubstantial claim - Findingown data
BQU57 caused dose-dependent growth inhibition in vivo at doses 10, 20, and 50 mg/kg/d.
“BQU57 was tested in vivo at several different doses 10, 20, and 50 mg/kg/d and dose-dependent growth inhibition effects were observed (Fig. 4c).”
Quote in the paperSubstantial claim - Findingown data
Compounds RBC6, RBC8 and RBC10 inhibited Ral binding to its effector RalBP1.
“Compounds RBC6, RBC8 and RBC10 inhibited Ral binding to its effector RalBP1”
Quote in the paperSubstantial claim - Findingown data
NMR experiments with RalB-GDP demonstrated interactions within the allosteric site.
“However, NMR experiments with RalB-GDP demonstrated interactions within the allosteric site.”
Quote in the paperSubstantial claim - Findingown data
Almost all chemical shift differences between RalB-GDP and RalB-GNP were confined to residues that interact with the third phosphate of GTP.
“Almost all the differences were confined to residues that interact with the third phosphate of the GTP (Extended Data Fig. 3a, b).”
Quote in the paperSubstantial claim - Findingown data
RBC8, BQU57 and RBC5 were readily taken into cells.
“We examined drug uptake, and found that RBC8, BQU57 and RBC5 were readily taken into cells (Extended Data Fig. 5a–c).”
Quote in the paperNot a substantial claim - Findingown data
RBC8 or BQU57 treatment showed no further inhibition of colony formation after Ral knockdown in H2122 and H358 cells.
“RBC8 or BQU57 treatment showed no further inhibition of colony formation after Ral knockdown (Fig. 3c–f, Extended Data Fig. 6e).”
Quote in the paperSubstantial claim - Findingown data
No obvious toxicities were observed in control or drug-treated animals as assessed by body-weight differences taking tumor size into account.
“No obvious toxicities were observed in the control (DMSO) or drug-treated animals as assessed by difference in body weight between control and drug-treated animals taking tumor size into account.”
Quote in the paperSubstantial claim - Findingown data
RBC8 inhibited RalB activity in H2122 xenograft tumors.
“RBC8 inhibited RalA (a, b) and RalB (c, d) activity in H2122 xenograft tumors.”
- Also stated in: § Extended Data · plain
“Ral activity in the treatment groups were statistically different from controls as determined by student’s t-test (*p<0.001, n = 24).”
Quote in the paperSubstantial claim - Also stated in: § Extended Data · plain
- Findingown data
Selected compounds inhibited the activity of both RalA and RalB in cell culture and in human tumor xenografts.
“Moreover, the selected compounds inhibited the activity of both RalA and RalB in cell culture and in human tumor xenografts.”
Quote in the paperSubstantial claim - Findingown data
RBC8 inhibited RalA activity in H2122 xenograft tumors.
“RBC8 inhibited RalA (a, b) and RalB (c, d) activity in H2122 xenograft tumors.”
- Also stated in: § Extended Data · plain
“Ral activity in the treatment groups were statistically different from controls as determined by student’s t-test (*p<0.001, n = 24).”
Quote in the paperSubstantial claim - Also stated in: § Extended Data · plain
- Findingown data
RBC8 and BQU57 distribute to tissues in nude mice 3 hours after a single intraperitoneal dose of 50 mg/kg.
“Tissue distribution of RBC8 (b), BQU57 (c) in nude mice 3h after a single i.p. dose of 50 mg/Kg of drug.”
Quote in the paperNot a substantial claim - Findingown data
No inhibition of Ras and RhoA activity was observed in H2122 xenograft tumors after compound treatment.
“By contrast, no inhibition of Ras and RhoA activity was observed (Fig. 4e).”
Quote in the paperSubstantial claim - Findingown data
The epitope tag greatly increased the sensitivity and dynamic range of the assay compared to using Ral antibodies for detection.
“The epitope tag greatly increased the sensitivity and dynamic range of the assay compared to using Ral antibodies for detection (Extended Data Fig. 2a).”
Quote in the paperNot a substantial claim - Findingown data
RBC8 inhibited tumor growth to a similar extent as dual knockdown of RalA and RalB.
“RBC8 inhibited tumor growth (Fig. 4a, Extended Data Fig. 7d) to a similar extent as dual knockdown of RalA and RalB (Fig. 4b).”
Quote in the paperSubstantial claim - Findingown data
Residues with significant chemical shift changes in RalB-GDP upon BQU57 are located in switch-II (aa 70-77) and helix α2 (aa 78-85).
“A plot of the chemical shift changes with 100 μM BQU57 as a function of sequence (Fig. 2d) shows that residues that exhibit significant changes (highlighted bars) are located in the switch-II (aa 70–77) and helix α2 (aa 78–85) region.”
Quote in the paperSubstantial claim - Findingown data
SPR gave a KD of 4.7 ± 1.5 μM for BQU57 binding to RalB-GDP.
“This was similar to results from Surface Plasma Resonance (SPR) which gave a KD of 4.7 ± 1.5 μM (Extended Data Fig. 4d).”
Quote in the paperSubstantial claim - Findingown data
BQU57 at 100 μM causes chemical shift changes in RalB-GNP at 100 μM.
“Chemical shift changes in RalB-GNP (100 μM) in the presence of 100 μM BQU57.”
Quote in the paperSubstantial claim - Findingown data
RBC6, RBC8 and RBC10 inhibited anchorage-independent growth of human cancer cell lines.
“Compounds RBC6, RBC8 and RBC10 inhibited Ral binding to its effector RalBP1, Ral-mediated cell spreading in murine fibroblasts and anchorage-independent growth of human cancer cell lines.”
Quote in the paperSubstantial claim - Findingown data
All four lung cancer lines H2122, H358, H460 and Calu6 were sensitive to K-Ras siRNA depletion.
“In addition, we found that all four lines were sensitive to K-Ras siRNA depletion (Extended Data Fig. 6a, b)”
Quote in the paperSubstantial claim - Findingown data
None of the 88 compounds inhibited GTP or GDP binding to purified recombinant RalA.
“None of the 88 compounds inhibited GTP or GDP binding to purified recombinant RalA (Supplementary Information), consistent with the interaction site being distinct from that used for binding guanine nucleotides.”
Quote in the paperSubstantial claim - Findingown data
BQU57 binds RalB-GDP with a KD value of 4.7 μM.
“fitted binding curve gave a KD value of 4.7 μM.”
Quote in the paperSubstantial claim - Findingown data
Only H2122 and H358 were sensitive to Ral knockdown.
“but only H2122 and H358 were sensitive to Ral knockdown (Extended Data Fig. 6c, d).”
Quote in the paperSubstantial claim - Findingown data
RBC8 at 100 μM causes chemical shift changes in the RalB-GNP spectrum.
“Chemical shift changes in RalB-GNP spectrum in presence of 100 μM RBC8.”
Quote in the paperSubstantial claim - Findingown data
RBC5 did not induce chemical shift changes in RalB-GDP.
“Moreover, RBC5, which did not affect the level of active Ral in the cell-based ELISA assay, also did not induce chemical shift changes in RalB-GDP (Extended Data Fig. 3e), therefore serving as additional negative control.”
Quote in the paperNot a substantial claim - Findingown data
RBC8 at 50 mg/kg/day initiated 24 hours after inoculation inhibited xenograft tumor growth of human lung cancer cell line H2122.
“50 mg/kg/day RBC8 initiated 24h after inoculation inhibited xenograft tumor growth of human lung cancer cell line H2122.”
Quote in the paperSubstantial claim - Findingown data
Structure-based virtual screening by docking 500,000 compounds to this site in RalA-GDP led to selection of 88 compounds.
“This process led to selection of 88 compounds.”
Quote in the paperSubstantial claim - Findingown data
The site is formed by the switch-II region (Ral70-Ral77), helix α2 (Ral78-Ral85) and one face of helix α3.
“This site is formed by the switch-II region (Ral70-Ral77), helix α2 (Ral78-Ral85) and one face of helix α3 (Fig. 1a).”
Quote in the paperSubstantial claim - Findingown data
RBC5 did not inhibit RalB activity in H2122 xenograft tumors.
“RBC5 did not inhibit RalA (e) or RalB (f) activity in H2122 xenograft tumors.”
Quote in the paperSubstantial claim - Findingown data
Compounds RBC6, RBC8, and RBC10 reduced the activation of RalA in living cells.
“Compounds RBC6, RBC8, and RBC10 (structures shown in Fig. 1e–g) reduced the activation of RalA in living cells (Fig. 1h)”
Quote in the paperSubstantial claim - Findingnone given
RBC8 and BQU57 show selectivity for Ral relative to Ras or Rho.
“RBC8 and BQU57 show selectivity for Ral relative to Ras or Rho”
Quote in the paperSubstantial claim - Findingown data
ITC yielded a KD = 7.7 ± 0.6 μM for BQU57 binding to RalB-GDP.
“The binding of BQU57 to RalB-GDP also was determined using Isothermal Titration Calorimetry (ITC) which yielded a KD = 7.7 ± 0.6 μM (Fig. 2f).”
Quote in the paperSubstantial claim - Findingown data
RBC8 at 100 μM causes significant chemical shift changes in selected residues of RalB-GDP at 100 μM.
“15N-HSQC spectrum of RalB-GDP (100 μM) in the absence (red) and presence (blue) of 100 μM RBC8. Selected residues exhibiting significant chemical shift changes are also shown.”
Quote in the paperSubstantial claim - Findingown data
RBC5 did not inhibit RalA activity in H2122 xenograft tumors.
“RBC5 did not inhibit RalA (e) or RalB (f) activity in H2122 xenograft tumors.”
Quote in the paperNot a substantial claim - Findingown data
Comparing available three-dimensional structures of RalA revealed differences in a region adjacent to, but distinct from, the guanine nucleotide binding pocket.
“Comparing available three-dimensional structures of RalA revealed differences in a region adjacent to, but distinct from, the guanine nucleotide binding pocket (Fig. 1).”
Quote in the paperSubstantial claim - Findingown data
Binding of RBC8 derivative BQU57 to RalB was confirmed by isothermal titration calorimetry, surface plasma resonance and 15N-HSQC NMR.
“Binding of RBC8 derivative BQU57 to RalB was confirmed by isothermal titration calorimetry, surface plasma resonance and 15N-HSQC NMR.”
Quote in the paperSubstantial claim - Findingown data
RBC8 and BQU57 inhibit xenograft tumor growth similar to depletion of Ral by siRNA.
“inhibit xenograft tumor growth similar to depletion of Ral by siRNA.”
Quote in the paperSubstantial claim - Findingown data
In the RalB-GNP structure (PDB code 2KE5), this binding site is largely absent.
“However, in the RalB-GNP structure (PDB code 2KE5, Extended Data Fig. 1) this binding site is largely absent.”
Quote in the paperSubstantial claim - Findingown data
BQU57 (100 μM) did not bind to RalB-GNP (100 μM) as indicated by minimal chemical shift changes.
“Similar to results with RBC8, BQU57 (100 μM) did not bind to RalB-GNP (100 μM) as indicated by minimal chemical shift changes on NMR spectrum (Extended Data Fig. 4b).”
Quote in the paperSubstantial claim - Findingown data
BQU57 causes chemical shift changes in selected residues of RalB-GDP with increasing concentrations.
“Plot of 1H-15N-HSQC NMR chemical shift changes of selected residues in RalB-GDP with increasing concentrations of BQU57.”
Quote in the paperSubstantial claim - Findingown data
RBC5 at 100 μM causes chemical shift changes in the RalB-GDP spectrum at 100 μM.
“Chemical shift changes in RalB-GDP (100 μM) spectrum in presence of 100 μM RBC5.”
Quote in the paperSubstantial claim - Findingown data
The inactive control compound RBC5 did not inhibit growth of any of these cell lines.
“The inactive control compound RBC5 did not inhibit growth of any of these cell lines (Extended Data Fig. 5d).”
Quote in the paperSubstantial claim - Findingown data
RBC5, RBC8 and BQU57 inhibit Ral activity in H2122 and H358 cells.
“Inhibition of Ral activity in H2122 and H358 cells by RBC5, RBC8 and BQU57.”
Quote in the paperSubstantial claim - Findingown data
All four human lung cancer cell lines H2122, H358, H460, and Calu6 were sensitive to K-Ras knockdown in the soft agar colony formation assay.
“All four lines were sensitive to K-Ras knockdown using the soft agar colony formation assay.”
Quote in the paperSubstantial claim - Premisecitation
The NMR structure of RalB in complex with GNP has been solved (PDB code 2KE5, BMRB entry 15230).
“The NMR structure of RalB in complex with the GTP analogue GMP-PNP (GNP) has been solved (PDB code 2KE5, BMRB entry 15230)21”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [21] Fenwick, R. B. et al. Solution structure and dynamics of the small GTPase RalB in its active conformation: significance for effector protein binding. Biochemistry 48, 2192–2206 (2009) source
- Study design and conductown data
Constitutively active RalAG23V and RalBG23V were successfully overexpressed in H2122 and H358 cells.
“Immunoblots showing successful overexpression of constitutively active RalAG23V and RalBG23V in H2122 and H358 cells.”
Quote in the paperNot a substantial claim - Study design and conductown data
Both RalA and RalB were knocked down in H2122 and H358 cell lines 48 hours after treatment with various concentrations of siRNA.
“Immunoblots showing knockdown of both RalA and RalB in H2122 and H358 cell lines 48h after treatment with various concentrations of siRNA.”
Quote in the paperSubstantial claim - Interpretationown data
Inhibition of cell growth by RBC8 and BQU57 depends on Ral proteins.
“This supports the conclusion that inhibition of cell growth by these compounds depends on Ral proteins.”
Quote in the paperSubstantial claim - Interpretationown data
Structure-based discovery is useful for development of therapeutics for Ral-dependent cancers.
“Our results show the utility of structure-based discovery for development of therapeutics for Ral-dependent cancers.”
Quote in the paperSubstantial claim - Interpretationreasoning
These results support the clinical utility of compounds that inhibit both GTPases.
“These results support the clinical utility of compounds that inhibit both GTPases.”
Quote in the paperSubstantial claim - Interpretationown data
The chemical shift changes are mostly due to changes in the two loops that would otherwise bind to the third phosphate of GTP.
“This reveals that changes (magenta) are mostly as a result of changes in the two loops that would otherwise bind to the third phosphate of GTP.”
Quote in the paperNot a substantial claim - Study design and conductown data
siRNA knockdown of K-Ras was achieved in H2122, H358, H460, and Calu6 cell lines 48 hours after transfection.
“Immunoblot showing siRNA knockdown of K-Ras in H2122, H358, H460, and Calu6 cell lines 48h after siRNA transfection.”
Quote in the paperSubstantial claim - Premisecitation
Therapies directed at interfering with Ras post-translational modifications gave poor clinical performance.
“However, therapies directed at interfering with Ras post-translational modifications3 gave poor clinical performance”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Tsimberidou, A. M., Chandhasin, C. & Kurzrock, R. Farnesyltransferase inhibitors: where are we now? Expert Opin. Investig. Drugs 19, 1569–1580 (2010) source
- Classified as probably not a substantial claim. 11
- May combine two claims. 23
- The quote only partly states this claim. 3
Classified as probably not a substantial claim.
PremisecitationRecently, three studies used similar fragment-based small molecule screening to identify compounds that bind sites on the K-Ras surface and block its SOS-mediated activation.
“Recently, three studies used similar fragment-based small molecule screening to identify compounds that bind sites on the K-Ras surface and block its SOS-mediated activation24–26 suggesting the approach has some promise.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [24] Sun, Q. et al. Discovery of small molecules that bind to K-Ras and inhibit Sos-mediated activation. Angew. Chem. Int. Edn Engl. 51, 6140–6143 (2012) source
- cites [25] Maurer, T. et al. Small-molecule ligands bind to a distinct pocket in Ras and inhibit SOS-mediated nucleotide exchange activity. Proc. Natl Acad. Sci. USA 109, 5299–5304 (2012) source
- cites [26] Shima, F. et al. In silico discovery of small-molecule Ras inhibitors that display antitumor activity by blocking the Ras-effector interaction. Proc. Natl Acad. Sci. USA 110, 8182–8187 (2013) source
The Discussion distinguishes this study from compounds that bind K-Ras and inhibit SOS-mediated nucleotide exchange: it says those were reported by Maurer et al., whereas this study's compounds primarily interfere with Ras–effector interactions. The Discovery section describes an in silico docking screen targeting an M-Ras structure, not fragment-based screening for inhibitors of SOS-mediated activation. (LLM, conf=0.91)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationRalA and RalB are important drivers of tumor growth and metastasis.
“The Ras-like GTPases RalA and B are important drivers of tumor growth and metastasis1.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [1] Lim, K. H. et al. Divergent roles for RalA and RalB in malignant growth of human pancreatic carcinoma cells. Curr. Biol. 16, 2385–2394 (2006) source
The Discussion reports that RalA is critical for tumorigenic growth and that both RalA and RalB contribute to metastatic growth in the pancreatic cancer models studied. It also says RalB was dispensable for tumorigenic growth, so the claim overstates their shared role in tumor growth. (LLM, conf=0.90)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationRal is required for lipid raft exocytosis and spreading of murine embryonic fibroblasts on fibronectin-coated coverslips.
“Ral is required for lipid raft exocytosis and spreading of murine embryonic fibroblasts (MEFs) on fibronectin-coated coverslips20.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [20] Balasubramanian, N. et al. RalA–exocyst complex regulates integrin-dependent membrane raft exocytosis and growth signaling. Curr. Biol. 20, 75–79 (2010) source
The Results and Discussion sections on Ral inhibition and RalA/RalB knockdown report that inhibiting RalA delayed lipid-raft return and spreading of WT murine embryonic fibroblasts replated on fibronectin-coated surfaces. The copy identifies those surfaces as fibronectin-coated but does not establish that they were coverslips; it also says spreading was delayed, not completely blocked. No page number is available in the indexed passages. (LLM, conf=0.82)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThe IC50 for RBC8 is 3.5 μM in H2122 and 3.4 μM in H358; for BQU57 2.0 μM in H2122 and 1.3 μM in H358.
“The IC50 for RBC8 is 3.5 μM in H2122 and 3.4 μM in H358; for BQU57 2.0 μM in H2122 and 1.3 μM in H358.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataRBC8 and BQU57 were detected in tumor tissue in vivo 3h after dosing.
“As shown in Extended Data Fig. 7b–c, the compounds were detected in tumor tissue in vivo.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRBC6, RBC8 and RBC10 dock into the target site of RalA-GDP.
“Molecular docking of RBC6 (c), RBC8 (d), and RBC10 (e) into the target site of RalA-GDP.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCompounds RBC5, RBC7, and RBC42 had no effect and served as negative controls.
“while compounds RBC5, RBC7, and RBC42 (structures not shown) had no effect and thus served as negative controls.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRBC8 at 50 mg/kg/day initiated 24 hours after inoculation inhibited xenograft tumor growth of human lung cancer cell line H358, with tumor volume statistically different from controls.
“RBC8 treatment (50 mg/kg/day) initiated 24 h after inoculation inhibited xenograft tumor growth of human lung cancer cell line H358.”
- Also stated in: § Extended Data · plain
“Tumor volume in the treatment group was statistically different from controls as determined by the Student’s t-test (*p<0.05).”
Quote in the paperSubstantial claim- Also stated in: § Extended Data · plain
May combine two claims.
Findingown dataRBC6 and RBC8 are related structures sharing the same bicyclic core, with specific substitutions giving rise to similar but somewhat different binding orientations in the allosteric binding cavity.
“RBC6 and RBC8 are related structures sharing the same bicyclic core (Fig. 1e, f), with specific substitutions giving rise to similar but somewhat different binding orientations in the allosteric binding cavity (Extended Data Fig. 2c–e).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningAlthough initial library screening was based on RalA structure, selected compounds also bound RalB.
“Although our initial library screening was based on RalA structure, the selected compounds also bound RalB, which is not surprising given the similarity of the amino acid sequences and predicted structures.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoth RalA and RalB were significantly inhibited by RBC8 and BQU57 but not by RBC5 in H2122 xenograft tumors.
“Both RalA and RalB were significantly inhibited by RBC8 (Extended Data Fig. 8a–d) and BQU57 (Fig. 4e) but not by the inactive compound RBC5 (Extended Data Fig. 8e, f).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenAttempts to stably overexpress FLAG-RalAG23V or FLAG-RalBG23V in H2122 cells were unsuccessful.
“Attempts to stably overexpress FLAG-RalAG23V or FLAG-RalBG23V in H2122 cells were unsuccessful”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataColony formation in soft agar showed that the Ral-dependent lines H2122 and H358, but not H460 or Calu6, were sensitive to RBC8 and BQU57 treatment.
“Colony formation in soft agar showed that the Ral-dependent lines H2122 and H358, but not H460 or Calu6, were sensitive to RBC8 and BQU57 treatment (Fig. 3a, b).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataVolumes calculated for this binding site were 175 Å3 for RalA-GDP, 155 Å3 for RalA-GNP-exo84, and 116 Å3 for RalA-GNP-sec5.
“Volumes calculated for this binding site were 175 Å3 for RalA-GDP (Fig. 1b), 155 Å3 for RalA-GNP-exo84 (Fig. 1c), and 116 Å3 for RalA-GNP-sec5 (Fig. 1d).”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataH358 xenograft yielded similar results to H2122 for RBC8.
“A second lung cancer line, H358 yielded similar results (Extended Data Fig. 7e).”
Quote in the paperNot a substantial claimMay combine two claims.
FindingcitationDepletion of RalA by siRNA inhibits spreading of WT MEFs, whereas caveolin deficient (Cav1−/−) MEFs are resistant to RalA depletion.
“In these cells, depletion of RalA by siRNA inhibits spreading of WT MEFs, whereas caveolin deficient (Cav1−/−) MEFs are resistant to RalA depletion.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataH2122 and H358, but not H460 or Calu6, were sensitive to Ral knockdown.
“H2122/H358 (c) but not H460/Calu6 (d) were sensitive to Ral knockdown.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRBC8 and BQU57 but not RBC5 inhibited both RalA and RalB activation in H2122 and H358 cell lines.
“Additionally, a Ral pull-down assay using RalBP1 agarose beads8 showed that RBC8 and BQU57 but not RBC5 inhibited both RalA and RalB activation in both the H2122 and H358 cell lines (Extended Data Fig. 5e).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Oxford, G. et al. RalA and RalB: antagonistic relatives in cancer cell migration. Cancer Res. 65, 7111–7120 (2005) source
May combine two claims.
Findingown dataRBC8 induced chemical shift changes in RalB-GDP but not RalB-GNP, indicating that RBC8 shows selectivity for the GDP bound form of Ral.
“RBC8 induced chemical shift changes in RalB-GDP but not RalB-GNP, indicating that RBC8 shows selectivity for the GDP bound form of Ral (Extended Data Fig. 3c, d).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRBC6, RBC8 and RBC10 inhibited cell spreading only in WT MEFs, not Cav1−/− MEFs.
“When RBC6, RBC8 and RBC10 were tested for effects on cell spreading in WT and Cav1−/− MEFs, inhibition was observed only in the WT MEFs (Fig. 1i, Extended Data Fig. 2b).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe surface model of RalB-GNP shows absence of the allosteric binding site.
“Surface model showing absence of the allosteric binding site.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe majority of BQU57-induced chemical shift changes localized to the allosteric site, consistent with assignment of BQU57 binding to this site based on modeling.
“The majority of the chemical shift changes localized to the allosteric site, consistent with assignment of BQU57 binding to this site based on modeling.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataRBC6, RBC8 and RBC10 inhibited Ral-mediated cell spreading in murine fibroblasts.
“When RBC6, RBC8 and RBC10 were tested for effects on cell spreading in WT and Cav1−/− MEFs, inhibition was observed only in the WT MEFs (Fig. 1i, Extended Data Fig. 2b).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataNo blinding was done in the xenograft experiments.
“Mice were randomized into 6 per group immediately before use (no blinding was done).”
- Also stated in: § Ral activity in tumor xenografts · plain
“mice were randomized into 6 per group (no blinding was done)”
Quote in the paperNot a substantial claim- Also stated in: § Ral activity in tumor xenografts · plain
Classified as probably not a substantial claim.
PremisecitationEfforts shifted to target signaling components downstream of Ras such as Raf-MEK-ERK and PI3K-AKT-mTOR.
“efforts shifted to target signaling components downstream of Ras such as Raf-MEK-ERK mitogen-activated protein kinases4 and the phosphoinositide 3-kinase-AKT-mTOR pathway5.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [4] Roberts, P. J. & Der, C. J. Targeting the Raf–MEK–ERK mitogen-activated protein kinase cascade for the treatment of cancer. Oncogene 26, 3291–3310 (2007) source
- cites [5] Yap, T. A. et al. Targeting the PI3K–AKT–mTOR pathway: progress, pitfalls, and promises. Curr. Opin. Pharmacol. 8, 393–412 (2008) source
May combine two claims.
InterpretationreasoningThese Ral inhibitors represent a first generation of valuable tools for elucidating Ral signaling and developing novel agents for cancer therapy.
“Though additional medicinal chemistry optimization is required, these Ral inhibitors represent a first generation of valuable tools for elucidating Ral signaling and developing novel agents for cancer therapy.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationSimilar considerations delayed development of protein kinase inhibitors, and some of the best kinase inhibitors are allosteric inhibitors that lock the conformation of kinases such as MEK in a closed state.
“Similar considerations delayed development of protein kinase inhibitors, and indeed some of the best kinase inhibitors proved to not be competitive with ATP, but are allosteric inhibitors that lock the conformation of kinases such as MEK in a closed state23.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Fang, Z., Grutter, C. & Rauh, D. Strategies for the selective regulation of kinases with allosteric modulators: exploiting exclusive structural features. ACS Chem. Biol. 8, 58–70 (2013) source
May combine two claims.
Interpretationown dataRBC8 and BQU57 act specifically through the GDP-bound form of Ral proteins.
“Together, these data provide evidence that RBC8 and BQU57 act specifically through the GDP-bound form of Ral proteins.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMore than one-third of human tumors harbor activating RAS mutations.
“More than one-third of human tumors harbor activating RAS mutations2”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] Schubbert, S., Shannon, K. & Bollag, G. Hyperactive Ras in developmental disorders and cancer. Nature Rev. Cancer 7, 295–308 (2007) source
Classified as probably not a substantial claim.
Study design and conductnone givenH358 cells stably overexpressing FLAG, FLAG-RalAG23V or FLAG-RalBG23V were generated.
“For the overexpression experiments, H358 cells stably overexpressing FLAG, FLAG-RalAG23V or FLAG-RalBG23V were generated”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone givenThe highly conserved guanine nucleotide binding site has high affinity for GDP/GTP present at millimolar concentrations in cells, and would out-compete ligands for this site.
“One reason for the failures to date to obtain clinically useful inhibitors for Ras and other related GTPases is the highly conserved guanine nucleotide binding site that has high affinity for the guanine nucleotides GDP/GTP present at millimolar concentrations in cells, and would out-compete ligands for this site.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataMice used in xenograft experiments were randomized into groups of 6 immediately before use.
“Mice were randomized into 6 per group immediately before use (no blinding was done).”
- Also stated in: § Ral activity in tumor xenografts · plain
“mice were randomized into 6 per group (no blinding was done)”
Quote in the paperNot a substantial claim- Also stated in: § Ral activity in tumor xenografts · plain
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenAll cell lines were fingerprinted by STR profiling and tested for mycoplasma contamination.
“All cell line were fingerprinted by STR profiling and tested for mycoplasma contamination.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
A third pathway downstream of Ras leading to activation of RalA and RalB has not been targeted to date.
“A third pathway downstream of Ras that leads to activation of the Ras-like small GTPases, RalA and RalB6, has not been targeted to date.”
The paper relies on this without support.
In the ELISA, FLAG-RalA binding to RalBP1 reflects RalA GTP-loading and capacity for effector activation.
“In this assay, the RalA binding reflects its GTP-loading and capacity for effector activation.”
The paper relies on this without support.
The RalB Q72L mutant used for NMR behaves like wild-type RalB in GDP/GNP binding and compound interactions.
“RalB (Q72L mutant) in a pET16b (Novagen) plasmid was a kind gift from Dr. Darerca Owen (Cambridge University).”
The paper relies on this without support.
The allosteric binding site in RalA-GDP is structurally conserved in RalB-GDP sufficiently for homology modeling and mapping of NMR chemical shift changes.
“Because no RalB-GDP crystal structure is available, instead a homology model was generated based on the similarity to RalA-GDP, and the residues that displayed chemical shift changes in response to the compounds were mapped onto this model (Fig. 2e).”
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?
RBC8 is a selective small-molecule inhibitor of Ral that binds to GDP-bound Ral and prevents its activation by blocking conversion to the GTP-bound active state.
“RBC8-a selective small-molecule inhibitor of Ral that binds to GDP-bound Ral and prevents its activation by blocking conversion to the GTP-bound active state 34 .”
From Dietary cholesterol activates a Ral-dependent pathway driving LDLR turnover (2026) · cites this paper as [34]
Cites
NMRPipe: A multidimensional spectral processing system based on UNIX pipes
Delaglio, F., Grzesiek, S., Vuister, G. W., Zhu, G., Pfeifer, J., & Bax, A. (1995) · Journal of Biomolecular NMR · doi:10.1007/bf00197809 · Cited by 15,994 · see citing works
ZINC − A Free Database of Commercially Available Compounds for Virtual Screening
Irwin, J. J., & Shoichet, B. K. (2005) · Journal of Chemical Information and Modeling · doi:10.1021/ci049714+ · Cited by 4,058 · see citing works
The CCPN data model for NMR spectroscopy: Development of a software pipeline
Vranken, W., Boucher, W., Stevens, T. J., Fogh, R. H., Pajon, A., Llinás, M., Ulrich, E. L., Markley, J. L., Ionides, J., & Laue, E. D. (2005) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20449 · Cited by 3,222 · see citing works
Targeting the Raf-MEK-ERK mitogen-activated protein kinase cascade for the treatment of cancer
Roberts, P. J., & Der, C. J. (2007) · Oncogene · doi:10.1038/sj.onc.1210422 · Cited by 2,788 · see citing works
Hyperactive Ras in developmental disorders and cancer
Schubbert, S., Shannon, K., & Bollag, G. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2109 · Cited by 1,583 · see citing works
Virtual screening of chemical libraries
Shoichet, B. K. (2004) · Nature · doi:10.1038/nature03197 · Cited by 1,425 · see citing works
Maurer, T., Garrenton, L. S., Oh, A., Pitts, K., Anderson, D. J., Skelton, N. J., Fauber, B. P., Pan, B., Malek, S., Stokoe, D., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1116510109 · Cited by 618 · see citing works
Targeting the PI3K–AKT–mTOR pathway: progress, pitfalls, and promises
Yap, T. A., Garrett, M. D., Walton, M. I., Raynaud, F., de Bono, J. S., & Workman, P. (2008) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2008.08.004 · Cited by 543 · see citing works
Discovery of Small Molecules that Bind to K‐Ras and Inhibit Sos‐Mediated Activation
Sun, Q., Burke, J. P., Phan, J., Burns, M. C., Olejniczak, E. T., Waterson, A. G., Lee, T., Rossanese, O. W., & Fesik, S. W. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201201358 · Cited by 490 · see citing works
Activation of RalA is critical for Ras-induced tumorigenesis of human cells
Lim, K.-H., Baines, A. T., Fiordalisi, J. J., Shipitsin, M., Feig, L. A., Cox, A. D., Der, C. J., & Counter, C. M. (2005) · Cancer Cell · doi:10.1016/j.ccr.2005.04.030 · Cited by 355 · see citing works
Shima, F., Yoshikawa, Y., Ye, M., Araki, M., Matsumoto, S., Liao, J., Hu, L., Sugimoto, T., Ijiri, Y., Takeda, A., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1217730110 · Cited by 293 · see citing works
Divergent Roles for RalA and RalB in Malignant Growth of Human Pancreatic Carcinoma Cells
Lim, K.-H., O'Hayer, K., Adam, S. J., Kendall, S. D., Campbell, P. M., Der, C. J., & Counter, C. M. (2006) · Current Biology · doi:10.1016/j.cub.2006.10.023 · Cited by 250 · see citing works
Fang, Z., Grütter, C., & Rauh, D. (2013) · ACS Chemical Biology · doi:10.1021/cb300663j · Cited by 197 · see citing works
Bahrami, A., Assadi, A. H., Markley, J. L., & Eghbalnia, H. R. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000307 · Cited by 193 · see citing works
Exo84 and Sec5 are competitive regulatory Sec6/8 effectors to the RalA GTPase
Jin, R., Junutula, J. R., Matern, H. T., Ervin, K. E., Scheller, R. H., & Brunger, A. T. (2005) · The EMBO Journal · doi:10.1038/sj.emboj.7600699 · Cited by 145 · see citing works
Delineation of the Cdc42/Rac-Binding Domain of p21-Activated Kinase
Thompson, G., Owen, D., Chalk, P. A., & Lowe, P. N. (1998) · Biochemistry · doi:10.1021/bi980140+ · Cited by 144 · see citing works
RalA and RalB: Antagonistic Relatives in Cancer Cell Migration
Oxford, G., Owens, C. R., Titus, B. J., Foreman, T. L., Herlevsen, M. C., Smith, S. C., & Theodorescu, D. (2005) · Cancer Research · doi:10.1158/0008-5472.can-04-1957 · Cited by 139 · see citing works
Self-citationThe RalGEF-Ral Effector Signaling Network: The Road Less Traveled for Anti-Ras Drug Discovery
Neel, N. F., Martin, T. D., Stratford, J. K., Zand, T. P., Reiner, D. J., & Der, C. J. (2011) · Genes & Cancer · doi:10.1177/1947601911407329 · Cited by 129 · see citing works
Structural basis of the interaction between RalA and Sec5, a subunit of the sec6/8 complex
Fukai, S., Matern, H. T., Jagath, J. R., Scheller, R. H., & Brunger, A. T. (2003) · The EMBO Journal · doi:10.1093/emboj/cdg329 · Cited by 126 · see citing works
Ral GTPases: corrupting the exocyst in cancer cells
Camonis, J., & White, M. A. (2005) · Trends in Cell Biology · doi:10.1016/j.tcb.2005.04.002 · Cited by 115 · see citing works
Activation of the RalGEF/Ral Pathway Promotes Prostate Cancer Metastasis to Bone
Yin, J., Pollock, C. B., Tracy, K. M., Chock, M., Martin, P., Oberst, M. D., & Kelly, K. (2007) · Molecular and Cellular Biology · doi:10.1128/mcb.00955-07 · Cited by 110 · see citing works
RLIP76, a Novel Transporter Catalyzing ATP-Dependent Efflux of Xenobiotics
Awasthi, S., Sharma, R., Singhal, S. S., Zimniak, P., & Awasthi, Y. C. (2002) · Drug Metabolism and Disposition · doi:10.1124/dmd.30.12.1300 · Cited by 86 · see citing works
Peschard, P., McCarthy, A., Leblanc-Dominguez, V., Yeo, M., Guichard, S., Stamp, G., & Marshall, C. J. (2012) · Current Biology · doi:10.1016/j.cub.2012.09.013 · Cited by 82 · see citing works
Expression of Ral GTPases, Their Effectors, and Activators in Human Bladder Cancer
Smith, S. C., Oxford, G., Baras, A. S., Owens, C. R., Havaleshko, D. M., Brautigan, D. L., Safo, M. K., & Theodorescu, D. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-2419 · Cited by 82 · see citing works
Self-citationRalA-Exocyst Complex Regulates Integrin-Dependent Membrane Raft Exocytosis and Growth Signaling
Balasubramanian, N., Meier, J. A., Scott, D. W., Norambuena, A., White, M. A., & Schwartz, M. A. (2010) · Current Biology · doi:10.1016/j.cub.2009.11.016 · Cited by 75 · see citing works
Self-citationThe Mammalian Mog1 Protein Is a Guanine Nucleotide Release Factor for Ran
Steggerda, S. M., & Paschal, B. M. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.c000252200 · Cited by 54 · see citing works
Self-citationFenwick, R. B., Prasannan, S., Campbell, L. J., Nietlispach, D., Evetts, K. A., Camonis, J., Mott, H. R., & Owen, D. (2009) · Biochemistry · doi:10.1021/bi802129d · Cited by 47 · see citing works
Ral activation promotes melanomagenesis
Zipfel, P. A., Brady, D. C., Kashatus, D. F., Ancrile, B. D., Tyler, D. S., & Counter, C. M. (2010) · Oncogene · doi:10.1038/onc.2010.224 · Cited by 47 · see citing works
Smith, S. C., Baras, A. S., Owens, C. R., Dancik, G. M., & Theodorescu, D. (2012) · Cancer Research · doi:10.1158/0008-5472.can-11-3966 · Cited by 41 · see citing works
Self-citationCrystal structure of the C3bot–RalA complex reveals a novel type of action of a bacterial exoenzyme
Pautsch, A., Vogelsgesang, M., Tränkle, J., Herrmann, C., & Aktories, K. (2005) · The EMBO Journal · doi:10.1038/sj.emboj.7600813 · Cited by 39 · see citing works
Farnesyltransferase inhibitors: where are we now?
Tsimberidou, A. M., Chandhasin, C., & Kurzrock, R. (2010) · Expert Opinion on Investigational Drugs · doi:10.1517/13543784.2010.535516 · Cited by 39 · see citing works
Hinoi, T., Kishida, S., Koyama, S., Ikeda, M., Matsuura, Y., & Kikuchi, A. (1996) · Journal of Biological Chemistry · doi:10.1074/jbc.271.33.19710 · Cited by 38 · see citing works
Differential involvement of RalA and RalB in colorectal cancer
Martin, T. D., & Der, C. J. (2012) · Small GTPases · doi:10.4161/sgtp.19571 · Cited by 36 · see citing works
Molecular recognition of an ADP-ribosylating Clostridium botulinum C3 exoenzyme by RalA GTPase
Holbourn, K. P., Sutton, J. M., Evans, H. R., Shone, C. C., & Acharya, K. R. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0501525102 · Cited by 27 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Genetics and biology of pancreatic ductal adenocarcinoma
Ying, H., Dey, P., Yao, W., Kimmelman, A. C., Draetta, G. F., Maitra, A., & DePinho, R. A. (2016) · Genes & Development · doi:10.1101/gad.275776.115 · Cited by 527 · see citing works
Verstraeten, N., Knapen, W., Kint, C. I., Liebens, V., den Bergh, B. V., Dewachter, L., Michiels, J. E., Fu, Q., David, C. C., Fierro, A. C., et al. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.05.011 · Cited by 316 · see citing works
Docking Screens for Novel Ligands Conferring New Biology
Irwin, J. J., & Shoichet, B. K. (2016) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b02008 · Cited by 281 · see citing works
Xia, W., Veeragandham, P., Cao, Y., Xu, Y., Rhyne, T. E., Qian, J., Hung, C.-W., Zhao, P., Jones, Y., Gao, H., et al. (2024) · Nature Metabolism · doi:10.1038/s42255-024-00978-0 · Cited by 176 · see citing works
Automatic selection of molecular descriptors using random forest: Application to drug discovery
Cano, G., García‐Rodríguez, J., García-García, A., Pérez‐Sánchez, H., Benediktsson, J. A., Thapa, A., & Barr, A. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.12.008 · Cited by 157 · see citing works
Targeting the Small GTPase Superfamily through Their Regulatory Proteins
Gray, J. L., von Delft, F., & Brennan, P. E. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201900585 · Cited by 142 · see citing works
Dunne, P. D., Dasgupta, S., Blayney, J. K., McArt, D. G., Redmond, K. L., Weir, J.-A., Bradley, C. A., Sasazuki, T., Shirasawa, S., Wang, T., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-0603 · Cited by 140 · see citing works
Ghoroghi, S., Mary, B., Larnicol, A., Asokan, N., Klein, A., Osmani, N., Busnelli, I., Delalande, F., Paul, N., Halary, S., et al. (2021) · eLife · doi:10.7554/elife.61539 · Cited by 122 · see citing works
RAL GTPases: Biology and Potential as Therapeutic Targets in Cancer
Yan, C., & Theodorescu, D. (2018) · Pharmacological Reviews · doi:10.1124/pr.117.014415 · Cited by 119 · see citing works
Self-citationRan GTPase: A Key Player in Tumor Progression and Metastasis
Boudhraa, Z., Carmona, E., Provencher, D. M., & Mes‐Masson, A. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.00345 · Cited by 117 · see citing works
Improving Prospects for Targeting RAS
Singh, H., Longo, D. L., & Chabner, B. A. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.62.1052 · Cited by 105 · see citing works
A small molecule inhibitor of Rheb selectively targets mTORC1 signaling
Mahoney, S. J., Narayan, S., Molz, L., Berstler, L. A., Kang, S. A. W., Vlasuk, G. P., & Saiah, E. (2018) · Nature Communications · doi:10.1038/s41467-018-03035-z · Cited by 95 · see citing works
Synthetic Lethal Vulnerabilities in <i>KRAS</i>-Mutant Cancers
Aguirre, A. J., & Hahn, W. C. (2018) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a031518 · Cited by 90 · see citing works
Targeting small GTPases: emerging grasps on previously untamable targets, pioneered by KRAS
Yin, G., Huang, J., Petela, J., Jiang, H., Zhang, Y., Gong, S., Wu, J., Liu, B., Shi, J., & Gao, Y. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01441-4 · Cited by 87 · see citing works
Yang, Q., Lang, C., Wu, Z., Dai, Y., He, S., Guo, W., Huang, S., Du, H., Ren, D., & Peng, X. (2019) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-019-1374-x · Cited by 86 · see citing works
Sun, H., Pan, P., Tian, S., Xu, L., Kong, X., Li, Y., Li, D., & Hou, T. (2016) · Scientific Reports · doi:10.1038/srep24817 · Cited by 79 · see citing works
The nuts and bolts of the platelet release reaction
Joshi, S., & Whiteheart, S. W. (2016) · Platelets · doi:10.1080/09537104.2016.1240768 · Cited by 77 · see citing works
Direct Modulation of Small GTPase Activity and Function
Cromm, P. M., Spiegel, J., Grossmann, T. N., & Waldmann, H. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201504357 · Cited by 78 · see citing works
Overcoming Resistance to Dual Innate Immune and MEK Inhibition Downstream of KRAS
Kitajima, S., Asahina, H., Chen, T., Guo, S., Quiceno, L. G., Cavanaugh, J. D., Merlino, A. A., Tange, S., Terai, H., Kim, J. W., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.08.009 · Cited by 75 · see citing works
Ral GTPases: crucial mediators of exocytosis and tumourigenesis
Shirakawa, R., & Horiuchi, H. (2015) · Journal of Biochemistry · doi:10.1093/jb/mvv029 · Cited by 76 · see citing works
Aiello, S., Gastoldi, S., Galbusera, M., Ruggenenti, P. L., Portalupi, V., Rota, S., Rubis, N., Liguori, L., Conti, S., Tironi, M., et al. (2021) · Blood Advances · doi:10.1182/bloodadvances.2021005246 · Cited by 70 · see citing works
Protein–Ligand Empirical Interaction Components for Virtual Screening
Yan, Y., Wang, W., Sun, Z., Zhang, J. Z. H., & Ji, C. (2017) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.7b00017 · Cited by 70 · see citing works
King, J. R., & Kabbani, N. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13660 · Cited by 69 · see citing works
Hu, C., Dadon, T., Chenna, V., Yabuuchi, S., Bannerji, R., Booher, R., Strack, P. R., Azad, N. S., Nelkin, B. D., & Maitra, A. (2015) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-15-0028 · Cited by 64 · see citing works
Zhao, Q., Peng, C. Y., Huang, H., Liu, S., Zhong, Y., Huang, W., He, G., & Han, B. (2018) · Chemical Communications · doi:10.1039/c8cc04732d · Cited by 60 · see citing works
Ral signaling pathway in health and cancer
Moghadam, A. R., Patrad, E., Tafsiri, E., Peng, W., Fangman, B., Pluard, T. J., Accurso, A., Salacz, M., Shah, K., Ricke, B., et al. (2017) · Cancer Medicine · doi:10.1002/cam4.1105 · Cited by 58 · see citing works
Mutations in the RAS and PI3K pathways are associated with metastatic location in colorectal cancers
Lan, Y., Lin, J., Lin, C., Yang, S., Lin, C., Wang, H., Chen, W., Lin, T., Jiang, J., & Chang, S. (2015) · Journal of Surgical Oncology · doi:10.1002/jso.23895 · Cited by 58 · see citing works
Zhang, Y., Wang, C., Huang, W., Haruehanroengra, P., Peng, C. Y., Sheng, J., Han, B., & He, G. (2018) · Organic Chemistry Frontiers · doi:10.1039/c8qo00422f · Cited by 56 · see citing works
Johansson, J., Nászai, M., Hodder, M. C., Pickering, K. A., Miller, B. W., Ridgway, R. A., Yu, Y., Peschard, P., Brachmann, S. M., Campbell, A. D., et al. (2019) · Cell stem cell · doi:10.1016/j.stem.2019.02.002 · Cited by 54 · see citing works
Gan, J., Wei, X., Li, Y., Wu, J., Qian, K., & Liu, B. (2015) · Nanomedicine Nanotechnology Biology and Medicine · doi:10.1016/j.nano.2015.06.010 · Cited by 53 · see citing works
RalA controls glucose homeostasis by regulating glucose uptake in brown fat
Skorobogatko, Y., Dragan, M., Cordon, C., Reilly, S. M., Hung, C.-W., Xia, W., Zhao, P., Wallace, M., Lackey, D. E., Chen, X.-W., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1801050115 · Cited by 52 · see citing works
Self-citationThe importance of Ras in drug resistance in cancer
Healy, F. M., Prior, I. A., & MacEwan, D. J. (2021) · British Journal of Pharmacology · doi:10.1111/bph.15420 · Cited by 52 · see citing works
Bum‐Erdene, K., Liu, D., González-Gutiérrez, G., Ghozayel, M. K., Xu, D. D., & Meroueh, S. O. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913654117 · Cited by 50 · see citing works
Self-citationKelly, M. R., Kostyrko, K., Han, K., Mooney, N. A., Jeng, E. E., Spees, K. K., Dinh, P., Abbott, K. L., Gwinn, D. M., Sweet-Cordero, A., et al. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1274 · Cited by 44 · see citing works
RalB directly triggers invasion downstream Ras by mobilizing the Wave complex
Zago, G., Veith, I., Singh, M. K., Fuhrmann, L., de Beco, S., Remorino, A., Takaoka, S., Palmeri, M., Berger, F., Brandon, N., et al. (2018) · eLife · doi:10.7554/elife.40474 · Cited by 43 · see citing works
RalB regulates contractility-driven cancer dissemination upon TGFβ stimulation via the RhoGEF GEF-H1
Biondini, M., Duclos, G., Meyer‐Schaller, N., Silberzan, P., Camonis, J., & Parrini, M. C. (2015) · Scientific Reports · doi:10.1038/srep11759 · Cited by 39 · see citing works
Prediction Methods of Herbal Compounds in Chinese Medicinal Herbs
Han, K., Zhang, L., Wang, M., Zhang, R., Wang, C., & Zhang, C. (2018) · Molecules · doi:10.3390/molecules23092303 · Cited by 38 · see citing works
M-Sec facilitates intercellular transmission of HIV-1 through multiple mechanisms
Lotfi, S. E., Nasser, H., Noyori, O., Hiyoshi, M., Takeuchi, H., Koyanagi, Y., & Suzu, S. (2020) · Retrovirology · doi:10.1186/s12977-020-00528-y · Cited by 35 · see citing works
The RAS-RAL axis in cancer: evidence for mutation-specific selectivity in non-small cell lung cancer
Guin, S., & Theodorescu, D. (2015) · Acta Pharmacologica Sinica · doi:10.1038/aps.2014.129 · Cited by 38 · see citing works
Self-citationNew Approaches to Difficult Drug Targets: The Phosphatase Story
Lazo, J. S., McQueeney, K. E., & Sharlow, E. R. (2017) · SLAS DISCOVERY · doi:10.1177/2472555217721142 · Cited by 36 · see citing works
Thuya, W. L., Kong, L. R., Syn, N. L. X., Ding, L., Cheow, E. S. H., Wong, R. T. X., Wang, T., Goh, R. M., Song, H., Jayasinghe, M. K., et al. (2023) · Theranostics · doi:10.7150/thno.72297 · Cited by 36 · see citing works
Kodama, T., Bard-Chapeau, E. A., Newberg, J. Y., Kodama, M., Rangel, R., Yoshihara, K., Ward, J. M., Jenkins, N. A., & Copeland, N. G. (2016) · Gastroenterology · doi:10.1053/j.gastro.2016.04.040 · Cited by 33 · see citing works
Cao, K., Li, N., Wang, H., Cao, X., He, J., Zhang, B., He, Q., Zhang, G., & Sun, X. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.m117.818997 · Cited by 33 · see citing works
The RAL Enigma: Distinct Roles of RALA and RALB in Cancer
Richardson, D. S., Spehar, J. M., Han, D. T., Chakravarthy, P. A., & Sizemore, S. T. (2022) · Cells · doi:10.3390/cells11101645 · Cited by 31 · see citing works
The RAL signaling network: Cancer and beyond
Apken, L. H., & Oeckinghaus, A. (2020) · International review of cytology · doi:10.1016/bs.ircmb.2020.10.005 · Cited by 30 · see citing works
Mechanism of activation and the rewired network: New drug design concepts
Nussinov, R., Zhang, M., Maloney, R., Tsai, C., Yavuz, B. R., Tunçbağ, N., & Jang, H. (2021) · Medicinal Research Reviews · doi:10.1002/med.21863 · Cited by 30 · see citing works
Sun, Z., Zhang, H., Zhang, Y., Liao, L., Zhou, W., Zhang, F., Lian, F., Huang, J., Xu, P., Zhang, R., et al. (2020) · Advanced Science · doi:10.1002/advs.202000098 · Cited by 28 · see citing works
Inhibition of Nonfunctional Ras
Nussinov, R., Jang, H., Gürsoy, A., Keskin, Ö., & Gaponenko, V. (2021) · Cell chemical biology · doi:10.1016/j.chembiol.2020.12.012 · Cited by 29 · see citing works
Yuan, Z.-Y., Lü, X., Fan, L., Chai, Y.-S., Wang, Y.-G., Jiang, J.-F., Feng, T.-S., Wang, X.-P., Yu, X., Yan, X.-J., et al. (2015) · Scientific Reports · doi:10.1038/srep18326 · Cited by 29 · see citing works
Understanding the biology of urothelial cancer metastasis
Kobayashi, T. (2016) · Asian journal of urology · doi:10.1016/j.ajur.2016.09.005 · Cited by 29 · see citing works
Rho kinase signaling and cardiac physiology
Dai, Y., Luo, W., & Chang, J. (2017) · Current Opinion in Physiology · doi:10.1016/j.cophys.2017.07.005 · Cited by 30 · see citing works
Mutant K-RAS Promotes Invasion and Metastasis in Pancreatic Cancer through GTPase Signaling Pathways
Padavano, J., Henkhaus, R. S., Chen, H., Skovan, B. A., Cui, H., & Ignatenko, N. A. (2015) · Cancer Growth and Metastasis · doi:10.4137/cgm.s29407 · Cited by 28 · see citing works
Wersäll, A., Williams, C. M., Brown, E. M., Iannitti, T., Williams, N., & Poole, A. W. (2018) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.117.310294 · Cited by 28 · see citing works
Győrffy, B., Stelniec‐Klotz, I., Sigler, C., Kasack, K., Redmer, T., Yu, Q., & Schäfer, R. (2015) · Oncotarget · doi:10.18632/oncotarget.3871 · Cited by 27 · see citing works
Inhibition of Ral GTPases Using a Stapled Peptide Approach
Thomas, J. C., Cooper, J. M., Clayton, N. S., Wang, C., White, M. A., Abell, C., Owen, D., & Mott, H. R. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.720243 · Cited by 25 · see citing works
Ral GTPase and the exocyst regulate autophagy in a tissue‐specific manner
Tracy, K., Velentzas, P. D., & Baehrecke, E. H. (2016) · The EMBO Reports · doi:10.15252/embr.201541283 · Cited by 22 · see citing works
Wang, X., Li, S., Lin, S., Han, Y., Zhan, T., Huang, Z., Wang, J., Li, Y., Deng, H., Zhang, M., et al. (2025) · Cell Research · doi:10.1038/s41422-025-01085-9 · Cited by 24 · see citing works
Shi, X., Li, S., Wang, L., Li, H., Li, Z., Wang, W., Bai, J., Sun, Y., Li, J., & Li, X. (2020) · Chinese Medicine · doi:10.1186/s13020-020-00340-y · Cited by 24 · see citing works
Chen, S. J., Hashimoto, K., Fujio, K., Hayashi, K., Paul, S. K., Yuzuriha, A., Qiu, W.-Y., Nakamura, E., Kanashiro, M. A., Kabata, M., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46605-0 · Cited by 24 · see citing works
Hu, G., Fang, Y., Xu, H., Wang, G., Yang, R., Gao, F., Wei, Q., Gu, Y., Zhang, C., Qiu, J., et al. (2023) · Advanced Science · doi:10.1002/advs.202301096 · Cited by 22 · see citing works
Ral GTPase–activating protein regulates the malignancy of pancreatic ductal adenocarcinoma
Yoshimachi, S., Shirakawa, R., Cao, M., Trinh, D. A., Gao, P., Sakata, N., Miyazaki, K., Goto, K., Miura, T., Ariake, K., et al. (2021) · Cancer Science · doi:10.1111/cas.14970 · Cited by 21 · see citing works
Functional diversity in the RAS subfamily of small GTPases
Astrain, G. B., Nikolova, M., & Smith, M. J. (2022) · Biochemical Society Transactions · doi:10.1042/bst20211166 · Cited by 21 · see citing works
Li, C., Li, H., Yao, G., Liang, X., Zhao, C., Xu, H., Jiang, H., & Zhu, C. (2022) · Organic Chemistry Frontiers · doi:10.1039/d2qo00786j · Cited by 21 · see citing works
Gu, C., Feng, M., Yin, Z., Luo, X., Yang, J., Li, Y., Li, T., Wang, R., & Fei, J. (2016) · Oncotarget · doi:10.18632/oncotarget.7987 · Cited by 19 · see citing works
Therapeutic Approaches to RAS Mutation
Scott, A. J., Lieu, C. H., & Messersmith, W. A. (2016) · The Cancer Journal · doi:10.1097/ppo.0000000000000187 · Cited by 19 · see citing works
Targeting Ras signaling in AML: RALB is a small GTPase with big potential
Pomeroy, E. J., & Eckfeldt, C. E. (2017) · Small GTPases · doi:10.1080/21541248.2017.1339765 · Cited by 19 · see citing works
Inchanalkar, S., Deshpande, N. U., Kasherwal, V., Jayakannan, M., & Balasubramanian, N. (2018) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.8b00163 · Cited by 17 · see citing works
Khawaja, H. A., Campbell, A. D., Roberts, J. Z., Javadi, A., O’Reilly, P. G., McArt, D. G., Allen, W. L., Majkut, J., Rehm, M., Bardelli, A., et al. (2020) · Cell Death and Disease · doi:10.1038/s41419-020-03131-3 · Cited by 17 · see citing works
RAL GTPases mediate multiple myeloma cell survival and are activated independently of oncogenic RAS
Seibold, M., Stühmer, T., Kremer, N., Mottok, A., Scholz, C. J., Schlösser, A., Leich, E., Holzgrabe, U., Brünnert, D., Barrio, S., et al. (2019) · Haematologica · doi:10.3324/haematol.2019.223024 · Cited by 18 · see citing works
Ren, S., Zhang, N., Shen, L., Lu, Y., Chang, Y., Lin, Z., Sun, N., Zhang, Y., Xu, J., Huang, H., et al. (2021) · Oncogene · doi:10.1038/s41388-021-02033-8 · Cited by 17 · see citing works
Tian, L., Zhao, L., Sze, K. M., Kam, C. S., Ming, V. S., Wang, X., Zhang, V. X., Ho, D. W., Cheung, T. T., Chan, L., et al. (2021) · Hepatology · doi:10.1002/hep.32236 · Cited by 16 · see citing works
M-Sec induced by HTLV-1 mediates an efficient viral transmission
Hiyoshi, M., Takahashi, N., Eltalkhawy, Y. M., Noyori, O., Lotfi, S. E., Panaampon, J., Okada, S., Tanaka, Y., Ueno, T., Fujisawa, J., et al. (2021) · PLoS Pathogens · doi:10.1371/journal.ppat.1010126 · Cited by 15 · see citing works
Jia, W., Yuan, J., Cheng, B., & Ling, C. (2023) · Cancer Letters · doi:10.1016/j.canlet.2023.216261 · Cited by 15 · see citing works
RAS GTPase signalling to alternative effector pathways
Singh, S., & Smith, M. J. (2020) · Biochemical Society Transactions · doi:10.1042/bst20200506 · Cited by 15 · see citing works
Zhong, Y., Qi, T., Ji, Y., Huang, H., Zhang, X., Leng, H., Peng, C. Y., Li, J., & Han, B. (2021) · The Journal of Organic Chemistry · doi:10.1021/acs.joc.0c02674 · Cited by 15 · see citing works
Targeting integrin-linked kinase to suppress oncogenic KRAS signaling in pancreatic cancer
Chu, P., Kulp, S. K., Bekaii‐Saab, T., & Chen, C. (2016) · Small GTPases · doi:10.1080/21541248.2016.1251383 · Cited by 15 · see citing works
Synthesis of novel Ral inhibitors: An in vitro and in vivo study
Yan, C., Theodorescu, D., Miller, B., Kumar, A., Kumar, V. V., Ross, D., & Wempe, M. F. (2016) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2016.10.021 · Cited by 14 · see citing works
Self-citationFan, Z., Cui, X., Wei, D., Liu, W., Li, B., He, H., Ye, H., Zhu, N., & Wei, X. (2016) · Scientific Reports · doi:10.1038/srep25353 · Cited by 13 · see citing works
Rattanaburee, T., Tanawattanasuntorn, T., Thongpanchang, T., Tipmanee, V., & Graidist, P. (2021) · Molecules · doi:10.3390/molecules26154537 · Cited by 13 · see citing works
Cheng, R., Lv, X., Bu, H., Xu, Q., Wu, J., Xie, K., Tang, J., Wang, L., Zhuang, J., Zhang, Y., et al. (2022) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2022.114808 · Cited by 13 · see citing works
Self-citationKlebe, D. W., Tibrewal, M., Sharma, D. R., Vanaparthy, R., Krishna, S., Varghese, M., Cheng, B., Mouton, P. R., Velı́šková, J., Dobrenis, K., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz033 · Cited by 13 · see citing works
Uegaki, M., Kita, Y., Shirakawa, R., Teramoto, Y., Kamiyama, Y., Saito, R., Yoshikawa, T., Sakamoto, H., Goto, T., Akamatsu, S., et al. (2019) · Carcinogenesis · doi:10.1093/carcin/bgz082 · Cited by 13 · see citing works
Wang, P., Wang, Z., Wang, L., Liang, W., Cai, A., Gao, Y., & Chen, L. (2020) · OncoTargets and Therapy · doi:10.2147/ott.s228914 · Cited by 12 · see citing works
Design and Efficient Synthesis of RalA Inhibitors Containing the Dihydro‐α‐carboline Scaffold
Leng, H., Wang, Y., He, X., Xia, H., Xu, P., Xiang, P., He, Q., Zhan, G., & Huang, W. (2020) · ChemMedChem · doi:10.1002/cmdc.202000722 · Cited by 12 · see citing works
Characterisation of the Ral GTPase inhibitor RBC8 in human and mouse platelets
Walsh, T. G., Wersäll, A., & Poole, A. W. (2019) · Cellular Signalling · doi:10.1016/j.cellsig.2019.03.015 · Cited by 12 · see citing works
Pomeroy, E. J., Lee, L. A., Lee, R. D. W., Schirm, D. K., Temiz, N. A., Ma, J., Gruber, T. A., Díaz-Flores, E., Moriarity, B. S., Downing, J. R., et al. (2016) · Oncogene · doi:10.1038/onc.2016.471 · Cited by 11 · see citing works
Early-stage structure-based drug discovery for small GTPases by NMR spectroscopy
Yin, G., Lv, G., Zhang, J., Jiang, H., Lai, T., Yang, Y., Ren, Y., Wang, J., Yi, C., Chen, H., et al. (2022) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2022.108110 · Cited by 10 · see citing works
Nanami, T., Shimada, H., Yajima, S., Oshima, Y., Matsushita, K., Nomura, F., Nagata, M., Tagawa, M., Otsuka, S., Kuwajima, A., et al. (2015) · Esophagus · doi:10.1007/s10388-015-0510-8 · Cited by 10 · see citing works
Direkte Modulation von Aktivität und Funktion kleiner GTPasen
Cromm, P. M., Spiegel, J., Grossmann, T. N., & Waldmann, H. (2015) · Angewandte Chemie · doi:10.1002/ange.201504357 · Cited by 9 · see citing works
Thermodynamic Mapping of Effector Protein Interfaces with RalA and RalB
Campbell, L. J., Peppa, M., Crabtree, M., Shafiq, A., McGough, N. F., Mott, H. R., & Owen, D. (2015) · Biochemistry · doi:10.1021/bi501530u · Cited by 9 · see citing works
RALB provides critical survival signals downstream of Ras in acute myeloid leukemia
Eckfeldt, C. E., Pomeroy, E. J., Lee, R. D., Hazen, K. S., Lee, L. A., Moriarity, B. S., & Largaespada, D. A. (2016) · Oncotarget · doi:10.18632/oncotarget.11431 · Cited by 9 · see citing works
Peripheral axonal ensheathment is regulated by RalA GTPase and the exocyst complex
Silva-Rodrigues, J. F., Patrício-Rodrigues, C. F., de Sousa-Xavier, V., Augusto, P. M., Fernandes, A. C., Farinho, A., Martins, J. P., & Teodoro, R. O. (2020) · Development · doi:10.1242/dev.174540 · Cited by 9 · see citing works
Hurd, C. A., Brear, P., Revell, J. D., Ross, S. J., Mott, H. R., & Owen, D. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.015735 · Cited by 9 · see citing works
Critical role for platelet Ral GTPases in regulating venous thrombosis in mice
Li, Y., Furniss, J. A., Vautrinot, J., Williams, C., Walsh, T. G., Brill, A. G., Amulic, B., & Poole, A. W. (2024) · Journal of Thrombosis and Haemostasis · doi:10.1016/j.jtha.2024.10.010 · Cited by 8 · see citing works
Popovic, M., Schouten, A., Rensen, M. G. A., & Rehmann, H. (2015) · Journal of Structural Biology · doi:10.1016/j.jsb.2015.12.006 · Cited by 8 · see citing works
RASpecting the oncogene: New pathways to therapeutic advances
Stout, M. C., & Campbell, P. M. (2018) · Biochemical Pharmacology · doi:10.1016/j.bcp.2018.10.022 · Cited by 7 · see citing works
The role of ral signaling and post translational modifications (PTMs) of Ras in cancer
Zinatizadeh, M. R., Zarandi, P. K., Keshavarz‐Fathi, M., Yousefi, M. H., & Rezaei, N. (2022) · Genome Instability & Disease · doi:10.1007/s42764-022-00059-0 · Cited by 6 · see citing works
Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics
Wijaya, K. T., Ansari, N., Seidel, H., & Babaei, V. (2025) · Advanced Science · doi:10.1002/advs.202416356 · Cited by 6 · see citing works
Wang, X., Gou, L., Gao, Y., Huang, Y., Kuai, R., Li, Y., Wang, Y., Chen, Y., Li, J., Cheng, C., et al. (2020) · International Immunopharmacology · doi:10.1016/j.intimp.2020.106898 · Cited by 6 · see citing works
Ras Family of Small GTPases in CRC: New Perspectives for Overcoming Drug Resistance
Río-Vilariño, A., del Puerto‐Nevado, L., García‐Foncillas, J., & Cebrián, A. (2021) · Cancers · doi:10.3390/cancers13153757 · Cited by 6 · see citing works
- Authors
- Yan, C., Liu, D., Li, L., Wempe, M. F., Guin, S., Khanna, M., Meier, J., Hoffman, B., Owens, C., Wysoczynski, C. L., Nitz, M. D., Knabe, W. E., Ahmed, M., Brautigan, D. L., Paschal, B. M., Schwartz, M. A., Jones, D. N. M., Ross, D., Meroueh, S. O., & Theodorescu, D.
- Affiliations
- University of Colorado Anschutz (US)
- Indiana University Indianapolis (US)
- University of Virginia (US)
- Yale University (US)
- Indiana University School of Medicine (US)
- University of Colorado Cancer Center (US)
- Corresponding author
- Theodorescu, Dan
- ORCID
- Venue
- Nature
- Published
- 2014-09-14
- Volume
- 515
- Issue
- 7527
- Pages
- 443-447
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4351747
- OpenAlex
- W2076865122
- Semantic Scholar
- 4d374733558595cd1d9f434c6874e22f2b6e1d3c
- Cited by
- 150
- References
- 34
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 6 · 2023: 8 · 2022: 10 · 2021: 13 · 2020: 18 · 2019: 12 · 2018: 12 · 2017: 7 · 2016: 21 · 2015: 22 · 2014: 2
- FWCI
- 7.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Purdue University Indianapolis (Indiana University) (submittedVersion)
- PMC
- Funders
- National Institutes of Health (UL1TR001082)
- National Heart, Lung, and Blood Institute (R01HL075092)
- National Cancer Institute (CA 075115, CA 091846, P01CA104106, R01CA075115, P50CA091846, CA 104106, R29CA075115, P30CA046934, P30CA044579)
- National Institute of General Medical Sciences (T32GM007635, GM-47214, R01GM047214)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Tyrosine Phosphatases
- Keywords
- Ral GTPase, small molecule inhibitors, RalA, RalB, Ras signaling, RALBP1, structure-based drug design, virtual screening, anchorage-independent growth, cancer therapy
- MeSH terms
- Animals, Computer Simulation, Drug Screening Assays, Antitumor, Female, Humans, Models, Molecular, Neoplasms, Protein Binding, Substrate Specificity, Signal Transduction, ATP-Binding Cassette Transporters, ras Proteins, GTPase-Activating Proteins, ral GTP-Binding Proteins, Xenograft Model Antitumor Assays, Cell Line, Tumor, Cell Proliferation, Mice, Small Molecule Libraries, Molecular Targeted Therapy
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