Residential College | false |
Status | 已發表Published |
In Silico Study of the Acquired Resistance Caused by the Secondary Mutations of KRAS G12C Protein Using Long Time Molecular Dynamics Simulation and Markov State Model Analysis | |
Tu Gao1; Liu Qing1; Qiu Yue1; Leung Elaine Lai Han2,3; Yao XiaoJun1 | |
2022-11-10 | |
Source Publication | International Journal of Molecular Sciences |
ISSN | 1422-0067 |
Volume | 23Issue:22Pages:13845 |
Abstract | Kirsten rat sarcoma viral oncogene homolog (KRAS) is a small GTPase protein which plays an important role in the treatment of KRAS mutant cancers. The FDA-approved AMG510 and MRTX849 (phase III clinical trials) are two potent KRASG12C-selective inhibitors that target KRAS G12C. However, the drug resistance caused by the second-site mutation in KRAS has emerged, and the mechanisms of drug resistance at atom level are still unclear. To clarify the mechanisms of drug resistance, we conducted long time molecular dynamics simulations (75 μs in total) to study the structural and energetic features of KRAS G12C and its four drug resistant variants to inhibitors. The combined binding free energy calculation and protein−ligand interaction fingerprint revealed that these second-site mutations indeed caused KRAS to produce different degrees of resistance to AMG510 and MRTX849. Furthermore, Markov State Models and 2D-free energy landscapes analysis revealed the difference in conformational changes of mutated KRAS bound with and without inhibitors. Furthermore, the comparative analysis of these systems showed that there were differences in their allosteric signal pathways. These findings provide the molecular mechanism of drug resistance, which helps to guide novel KRAS G12C inhibitor design to overcome drug resistance. |
Keyword | Kras G12c Inhibitor Drug Resistance Molecular Dynamics Markov State Model |
DOI | 10.3390/ijms232213845 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Biochemistry & Molecular Biology ; Chemistry |
WOS Subject | Biochemistry & Molecular Biology ; Chemistry, Multidisciplinary |
WOS ID | WOS:000887394400001 |
Publisher | MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND |
Scopus ID | 2-s2.0-85142662099 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | THE STATE KEY LABORATORY OF QUALITY RESEARCH IN CHINESE MEDICINE (UNIVERSITY OF MACAU) INSTITUTE OF COLLABORATIVE INNOVATION DEPARTMENT OF BIOMEDICAL SCIENCES |
Corresponding Author | Leung Elaine Lai Han; Yao XiaoJun |
Affiliation | 1.Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Taipa, Macau SAR 999078, 2.Cancer Center, Faculty of Health Science, University of Macau, SAR 999078, Macao 3.MOE Frontiers Science Center for Precision Oncology, University of Macau, SAR 999078, Macao |
First Author Affilication | University of Macau |
Corresponding Author Affilication | Cancer Centre; University of Macau |
Recommended Citation GB/T 7714 | Tu Gao,Liu Qing,Qiu Yue,et al. In Silico Study of the Acquired Resistance Caused by the Secondary Mutations of KRAS G12C Protein Using Long Time Molecular Dynamics Simulation and Markov State Model Analysis[J]. International Journal of Molecular Sciences, 2022, 23(22), 13845. |
APA | Tu Gao., Liu Qing., Qiu Yue., Leung Elaine Lai Han., & Yao XiaoJun (2022). In Silico Study of the Acquired Resistance Caused by the Secondary Mutations of KRAS G12C Protein Using Long Time Molecular Dynamics Simulation and Markov State Model Analysis. International Journal of Molecular Sciences, 23(22), 13845. |
MLA | Tu Gao,et al."In Silico Study of the Acquired Resistance Caused by the Secondary Mutations of KRAS G12C Protein Using Long Time Molecular Dynamics Simulation and Markov State Model Analysis".International Journal of Molecular Sciences 23.22(2022):13845. |
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