Microsecond-timescale MD simulation of EGFR minor mutation predicts the structural flexibility of EGFR kinase core that reflects EGFR inhibitor sensitivity

Author:

Yoshizawa Takahiro,Uchibori Ken,Araki MitsuguORCID,Matsumoto ShigeyukiORCID,Ma BiaoORCID,Kanada Ryo,Seto Yosuke,Oh-hara Tomoko,Koike Sumie,Ariyasu Ryo,Kitazono Satoru,Ninomiya Hironori,Takeuchi KengoORCID,Yanagitani Noriko,Takagi Satoshi,Kishi Kazuma,Fujita NaoyaORCID,Okuno YasushiORCID,Nishio Makoto,Katayama RyoheiORCID

Abstract

AbstractApproximately 15–30% of patients with lung cancer harbor mutations in the EGFR gene. Major EGFR mutations (>90% of EGFR-mutated lung cancer) are highly sensitive to EGFR tyrosine kinase inhibitors (TKIs). Many uncommon EGFR mutations have been identified, but little is known regarding their characteristics, activation, and sensitivity to various EGFR-TKIs, including allosteric inhibitors. We encountered a case harboring an EGFR-L747P mutation, originally misdiagnosed with EGFR-del19 mutation using a routine diagnostic EGFR mutation test, which was resistant to EGFR-TKI gefitinib. Using this minor mutation and common EGFR-activating mutations, we performed the binding free energy calculations and microsecond-timescale molecular dynamic (MD) simulations, revealing that the L747P mutation considerably stabilizes the active conformation through a salt-bridge formation between K745 and E762. We further revealed why several EGFR inhibitors, including the allosteric inhibitor, were ineffective. Our computational structural analysis strategy would be beneficial for future drug development targeting the EGFR minor mutations.

Funder

MEXT | Japan Society for the Promotion of Science

Japan Agency for Medical Research and Development

Uehara Memorial Foundation

Nippon Foundation

Ministry of Education, Culture, Sports, Science and Technology

FOCUS Establishing Supercomputing Center of Excellence

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,History,Education

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