Structure-Based Discovery of Active Pan-KRas Inhibitors Targeting G12D Mutants by Enhanced Sampling Simulations
Ras is a node protein in the classic tumor signaling pathway known as RAS-RAF-MEK. Mutations in Ras are reported to occur in approximately 19% of human cancers. Among them, the G12D mutation is one of the most prevalent mutations found in Ras. In this study, we performed replica-exchange molecular dynamics (REMD) simulations on the KRas G12D mutant, revealing that its conformational space is remarkably different from that of wild-type KRas, particularly in State 1. Based on two specific conformations of the KRas G12D mutant, we screened an in-house molecular library. Two compounds, designated SS-3091 and SS-30125, were experimentally verified to have the strong inhibitory effects. MD simulations starting from the docked complexes revealed that SS-3091 and SS-30125 bind to the interaction interfaces of KRas and ARaf, destabilizing the ARaf·KRas complex. The anticancer activities of SS-3091 and SS-30125 have been validated against the KRas G12D, G12C, G12V, and G12S mutants in various cancer cells. All findings underscore the potential of SS-3091 and SS-30125 as very promising active pan-KRas inhibitors.
Authors
- Xianming Deng (ORCID: https://orcid.org/0000-0002-9354-5864)
- Fei Xia (ORCID: https://orcid.org/0000-0001-9458-9175)
- Xin Xu (ORCID: https://orcid.org/0000-0002-5247-2937)
- Juan Zeng (ORCID: https://orcid.org/0000-0001-8227-0415)
- Li Li (ORCID: https://orcid.org/0000-0002-7720-6731)
- Jian Chen (ORCID: https://orcid.org/0000-0001-5128-8567)
- Sheng Shen (ORCID: https://orcid.org/0000-0002-1913-2666)
- Chi Sun
- Yuhua Tan
Institutions
- Target (United States) (US)
- Guangdong Medical College (CN)
- Xiamen University (CN)
- Fudan University (CN)
- First Affiliated Hospital of Xiamen University (CN)
- Institute of Macromolecular Chemistry (UA)
- Institute of Molecular Biology (AM)
- East China Normal University (CN)
Publication Details
- Journal
- The Journal of Physical Chemistry B
- Published
- 2025-09-04
- DOI
- https://doi.org/10.1021/acs.jpcb.5c01781
- Citations
- 3
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 4.51
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities
- Natural Science Foundation of Guangdong Province for Distinguished Young Scholars