Cited by 150Protein Kinase Regulation and GTPase SignalingComputational Drug Discovery MethodsProtein Tyrosine Phosphatases

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index; 14 of the 23 sources its claims cite were checked for support.

Discovery and characterization of small molecules that target the GTPase Ral

Open access

Abstract

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.

Overview

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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.

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Integrity signals

Registry

Crossref · 10.1038/nature13713

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

14 of 23 cited sources checked · 6 supported · 1 flagged · accuracy not yet measured

Show all 59 claims

  • Probably not a substantial claim. 11
  • It may state two separate claims as one. 23
  • The quote only partly states this claim. 3
33 of 33
  • 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).”
4 of 4

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Metadata

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
Venue
Nature
Published
2014-09-14
Volume
515
Issue
7527
Pages
443-447
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2076865122
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
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
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › 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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