Department of Biological and Chemical Sciences, Illinois Institute of Technology, Chicago, IL 60616, United States. Electronic address:
Published: December 2014
AI Article Synopsis
Article Abstract
A label-free method for the measurement of the activity of HIV-1 protease is developed by real-time monitoring of the cleavage of a peptide substrate by HIV-1 protease in a nanopore. The method is rapid and sensitive: picomolar concentrations of HIV-1 protease could be detected in ~10 min. Simulated clinical samples are analyzed, and the activity of HIV-1 protease could be accurately detected. Our developed nanopore sensor design strategy should find useful applications in the development of stochastic sensors for other proteases of medical, pharmaceutical, and biological importance.
Highly mutated HIV-1 protease (PR) compromises the efficacy of lopinavir (LPV) and darunavir (DRV) used to formulate salvage regimens in HIV/AIDS management. Here, we report the kinetics of inhibition of lopinavir (LPV) and darunavir (DRV) on highly mutated South African HIV-1 subtype C PR obtained from clinical isolates. The wild-type and mutant South African HIV-1 subtype C PR were cloned and purified.
To develop a model for predicting the biological activity of compounds targeting the HIV-1 protease and to establish factors influencing enzyme inhibition. Machine learning models were built based on a combination of Richard Bader's theory of Atoms in Molecules and topological analysis of electron density using experimental x-ray 'protein-ligand' complexes and inhibition constants data. Among all the models tested, logistic regression achieved the highest accuracy of 0.
Cervical cancer cases continue to rise despite all the advanced screening and preventative measures put in place, which include human papillomavirus (HPV) vaccination. These soaring numbers can be attributed to the lack of effective anticancer drugs against cervical cancer; thus, repurposing the human immunodeficiency virus protease inhibitors is an attractive innovation. Therefore, this work was aimed at evaluating the potential anticancer activities of HIV-PIs against cervical cancer cells.
Darunavir, a frontline treatment for HIV infection, faces limitations due to emerging multidrug resistant (MDR) HIV strains, necessitating the development of analogs with improved activity. In this study, a combinatorial in silico approach was used to initially design a series of HIV-1 PI analogs with modifications at key sites, P1' and P2', to enhance interactions with HIV-1 PR. Fifteen analogs with promising binding scores were selected for synthesis and evaluated for the HIV-1 PR inhibition activity.
Inhibition of HIV-1 protease is a cornerstone of antiretroviral therapy. However, the notorious ability of HIV-1 to develop resistance to protease inhibitors (PIs), particularly darunavir (DRV), poses a major challenge. Using quantum chemistry and computer simulations, this study aims to investigate the interactions between two novel PIs, GRL-004 and GRL-063, as well as a wild-type (WT) HIV strain and a DRV-resistant mutant strain.
