Evidence map›Paper›PMID 40244134›Full record

ArticleInternational journal of molecular sciences2025

In Silico Identification of Putative Allosteric Pockets and Inhibitors for the KRASG13D-SOS1 Complex in Cancer Therapy.

Zehra Sarica, Ozge Kurkcuoglu, Fethiye Aylin Sungur

Abstract read
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Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zehra SaricaComputational Science and Engineering Division, Informatics Institute, Istanbul Technical University, Istanbul 34469, Türkiye.ORCID 0000-0002-2347-9099
Ozge KurkcuogluDepartment of Chemical Engineering, Istanbul Technical University, Istanbul 34469, Türkiye.ORCID 0000-0003-0228-3211
Fethiye Aylin SungurComputational Science and Engineering Division, Informatics Institute, Istanbul Technical University, Istanbul 34469, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RAS mutations occur in about 30% of human cancers, leading to enhanced RAS signaling and tumor growth. KRAS is the most commonly mutated oncogene in human tumors, especially lung, pancreatic, and colorectal cancers. Direct targeting of KRAS is difficult due to its highly conserved sequence; but, its complex with the guanine nucleotide exchange factor Son of Sevenless (SOS) 1 promises an attractive target for inhibiting RAS-mediated signaling. Here, we first revealed putative allosteric binding sites of the SOS1, KRASG12C-SOS1 complex, and the ternary KRASG13D-SOS1 complex structures using two network-based models, the essential site scanning analysis and the residue interaction network model. The results enabled us to identify two new putative allosteric pockets for the ternary KRASG13D-SOS1 complex. These were then screened together with the known ligand binding site against the natural compounds in the InterBioScreen (IBS) database using the Glide software package developed by Schrödinger, Inc. The docking poses of seven hit compounds were assessed using 400 ns long molecular dynamics (MD) simulations with two independent replicas using Desmond, coupled with thermal MM-GBSA calculations for the estimation of the binding free energy values. The structural skeleton of the seven proposed compounds consists of different functional groups and heterocyclic rings that possess anti-cancer activity and exhibit persistent interactions with key residues in binding pockets throughout the MD simulations. STOCK1N-09823 was determined as the most promising hit that promoted the disruption of the interactions R73 (chain A)/N879 and R73 (chain A)/Y884, which are key for SOS1-mediated KRAS activation.

Indexed as

Antineoplastic AgentsNeoplasmsProto-Oncogene Proteins p21(ras)SOS1 ProteinAllosteric SiteBinding SitesHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationMutationProtein BindingAntineoplastic AgentsKRAS protein, humanLigandsProto-Oncogene Proteins p21(ras)SOS1 ProteinSOS1 protein, humanallosteryKRASG13D-SOS1 complexmolecular dockingmolecular dynamics simulationsnatural compounds

Identifiers

PMID40244134
PMCPMC11989364

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.