4.7 Article

Hybrid QM/MM Free-Energy Evaluation of Drug-Resistant Mutational Effect on the Binding of an Inhibitor Indinavir to HIV-1 Protease

Journal

JOURNAL OF CHEMICAL INFORMATION AND MODELING
Volume 62, Issue 5, Pages 1328-1344

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jcim.1c01193

Keywords

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Funding

  1. JSPS KAKENHI [25104004, 16H04776, 18H05161, 19H03195, 20H05441, 20H05098]
  2. MEXT
  3. MEXT Quantum Leap Flagship Program (MEXT Q -LEAP) [JPMXS0120330644]
  4. Tokyo Institute of Technology through the HPCI System Research Project [hp150270]
  5. Grants-in-Aid for Scientific Research [20H05098, 20H05441, 19H03195, 18H05161, 16H04776] Funding Source: KAKEN

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This study investigates the effects of drug-resistant mutants of HIV-1 protease on inhibitor binding through molecular simulation, and successfully elucidates the molecular mechanism of drug resistance.
A human immunodeficiency virus-1 (HIV-1) protease is a homodimeric aspartic protease essential for the replication of HIV. The HIV-1 protease is a target protein in drug discovery for antiretroviral therapy, and various inhibitor molecules of transition state analogues have been developed. However, serious drug-resistant mutants have emerged. For understanding the molecular mechanism of the drug resistance, an accurate examination of the impacts of the mutations on ligand binding and enzymatic activity is necessary. Here, we present a molecular simulation study on the ligand binding of indinavir, a potent transition state analogue inhibitor, to the wild-type protein and a V82T/I84V drug-resistant mutant of the HIV-1 protease. We employed a hybrid ab initio quantum mechanical/molecular mechanical (QM/MM) free-energy optimization technique which combines a highly accurate QM description of the ligand molecule and its interaction with statistically ample conformational sampling of the MM protein environment by long-time molecular dynamics simulations. Through the free-energy calculations of protonation states of catalytic groups at the binding pocket and of the ligand-binding affinity changes upon the mutations, we successfully reproduced the experimentally observed significant reduction of the binding affinity upon the drug-resistant mutations and elucidated the underlying molecular mechanism. The present study opens the way for understanding the molecular mechanism of drug resistance through the direct quantitative comparison of ligand binding and enzymatic reaction with the same accuracy.

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