Development of potent inhibitors against KRAS, its mutant G12R, allosteric and Switch-I/Switch-II site

Vikas Yadav1, Mohammad Kashif1, Swati Sharma1

  • 1School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067 India.

In Silico Pharmacology
|September 15, 2025
PubMed

Insights

New computational methods identified promising KRAS inhibitors, including NSC 655,101, V016-9984, and N060-0122, outperforming existing drugs. These compounds show potential for developing novel therapies against KRAS-driven cancers.

Area of Science:

  • Biochemistry
  • Computational Biology
  • Pharmacology

Background:

  • KRAS GTPases regulate cell growth; mutations drive cancer, making KRAS a key therapeutic target.
  • KRAS's structure presents challenges for drug development, necessitating exploration of novel binding sites.
  • Allosteric pockets and Switch-I/Switch-II regions offer alternative strategies for KRAS-targeted drug discovery.

Purpose of the Study:

  • To identify novel small-molecule inhibitors targeting wild-type KRAS and its G12R mutant using computational approaches.
  • To evaluate the binding affinity and stability of potential inhibitors against KRAS.
  • To elucidate the mechanism of action by analyzing ligand-induced conformational dynamics.

Main Methods:

  • Virtual screening of compound libraries against KRAS structures.
  • Molecular dynamics simulations to assess inhibitor-protein complex stability.
  • Binding energy calculations and Time-lagged Independent Component Analysis (TICA) for mechanistic insights.

Main Results:

  • Four compounds (NSC 374,037, NSC 655,101, V016-9984, N060-0122) showed superior binding affinity compared to Sotorasib.
  • NSC 655,101 exhibited strong affinity for wild-type KRAS; V016-9984 and N060-0122 targeted allosteric and SI/II sites, respectively.
  • TICA revealed ligand-specific modulation of KRAS conformational dynamics and stabilization of key protein states.

Conclusions:

  • Identified novel KRAS inhibitors with potential for therapeutic development.
  • Computational findings provide a strong foundation for experimental validation of these compounds.
  • These inhibitors represent promising candidates for effective KRAS-targeted cancer therapies.

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