Darunavir-Resistant HIV-1 Protease Constructs Uphold a Conformational Selection Hypothesis for Drug Resistance.
Zhanglong LiuTrang T TranLinh PhamLingna HuKyle BentzDaniel A SavinGail E FanucciPublished in: Viruses (2020)
Multidrug resistance continues to be a barrier to the effectiveness of highly active antiretroviral therapy in the treatment of human immunodeficiency virus 1 (HIV-1) infection. Darunavir (DRV) is a highly potent protease inhibitor (PI) that is oftentimes effective when drug resistance has emerged against first-generation inhibitors. Resistance to darunavir does evolve and requires 10-20 amino acid substitutions. The conformational landscapes of six highly characterized HIV-1 protease (PR) constructs that harbor up to 19 DRV-associated mutations were characterized by distance measurements with pulsed electron double resonance (PELDOR) paramagnetic resonance spectroscopy, namely double electron-electron resonance (DEER). The results show that the accumulated substitutions alter the conformational landscape compared to PI-naïve protease where the semi-open conformation is destabilized as the dominant population with open-like states becoming prevalent in many cases. A linear correlation is found between values of the DRV inhibition parameter Ki and the open-like to closed-state population ratio determined from DEER. The nearly 50% decrease in occupancy of the semi-open conformation is associated with reduced enzymatic activity, characterized previously in the literature.
Keyphrases
- antiretroviral therapy
- human immunodeficiency virus
- hiv infected patients
- hiv infected
- hiv positive
- molecular dynamics simulations
- minimally invasive
- hiv aids
- single molecule
- energy transfer
- molecular dynamics
- systematic review
- hepatitis c virus
- amino acid
- randomized controlled trial
- high resolution
- squamous cell carcinoma
- neoadjuvant chemotherapy
- electron transfer
- solar cells
- men who have sex with men
- smoking cessation
- south africa
- radiation therapy
- lymph node
- crystal structure
- electron microscopy
- quantum dots