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HIV-1 protease with 10 lopinavir and darunavir resistance mutations exhibits altered inhibition, structural rearrangements and extreme dynamics.
- Source :
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Journal of molecular graphics & modelling [J Mol Graph Model] 2022 Dec; Vol. 117, pp. 108315. Date of Electronic Publication: 2022 Sep 01. - Publication Year :
- 2022
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Abstract
- Antiretroviral drug resistance is a therapeutic obstacle for people with HIV. HIV protease inhibitors darunavir and lopinavir are recommended for resistant infections. We characterized a protease mutant (PR10x) derived from a highly resistant clinical isolate including 10 mutations associated with resistance to lopinavir and darunavir. Compared to the wild-type protease, PR10x exhibits ∼3-fold decrease in catalytic efficiency and K <subscript>i</subscript> values of 2-3 orders of magnitude worse for darunavir, lopinavir, and potent investigational inhibitor GRL-519. Crystal structures of the mutant were solved in a ligand-free form and in complex with GRL-519. The structures show altered interactions in the active site, flap-core interface, hydrophobic core, hinge region, and 80s loop compared to the corresponding wild-type protease structures. The ligand-free crystal structure exhibits a highly curled flap conformation which may amplify drug resistance. Molecular dynamics simulations performed for 1 μs on ligand-free dimers showed extremely large fluctuations in the flaps for PR10x compared to equivalent simulations on PR with a single L76V mutation or wild-type protease. This analysis offers insight about the synergistic effects of mutations in highly resistant variants.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022 Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-4243
- Volume :
- 117
- Database :
- MEDLINE
- Journal :
- Journal of molecular graphics & modelling
- Publication Type :
- Academic Journal
- Accession number :
- 36108568
- Full Text :
- https://doi.org/10.1016/j.jmgm.2022.108315