Literature DB >> 32000612

Exploring the potency of currently used drugs against HIV-1 protease of subtype D variant by using multiscale simulations.

Md Fulbabu Sk1, Rajarshi Roy1, Parimal Kar1.   

Abstract

Acquired immune deficiency syndrome (AIDS) is caused by the human immunodeficiency virus (HIV), type 1 and 2. Further, the diversity in HIV-1 has given rise to many serotypes and recombinant strains. The currently used protease inhibitors have been developed for subtype B, although non-B subtype strains account for ∼ 90% of the global HIV infections. Subtype D is spreading rapidly and infecting a large population in North Africa and the Middle East. In the current study, molecular dynamics simulations in conjunction with the molecular mechanics/Poisson-Boltzmann surface area (MM-PBSA) scheme was used to investigate the potency of four drugs, namely atazanavir (ATV), darunavir (DRV), lopinavir (LPV) and tipranavir (TPV) against the subtype D variant. Our calculations predicted that the potency of the inhibitors decreased in the order TPV > ATV > DRV > LPV. TPV was found to be the most potent against subtype D due to an increase in van der Waals and electrostatic interactions and reduction in the desolvation energy compared to other inhibitors. This result is further supported by the hydrogen bond interactions between inhibitors and protease. Furthermore, our analyses suggested that the binding of TPV induced a more closed conformation of the flap compared to apo or other complexes. It was observed that TPV/PRD has a lower cavity volume relative to the other three complexes leading to a tighter binding. The open conformation of the flap was observed for LPV/PRD. We expect that this study might be useful for designing more potent inhibitors against HIV-1 subtype D. Communicated by Ramaswamy H. Sarma.

Entities:  

Keywords:  HIV-1/subtype D protease; dynamic cross-correlation (DCC); homology modeling; molecular dynamics; molecular-mechanics Poisson-Boltzmann surface area (MM-PBSA)

Mesh:

Substances:

Year:  2020        PMID: 32000612     DOI: 10.1080/07391102.2020.1724196

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  6 in total

1.  Computational Investigation of Structural Dynamics of SARS-CoV-2 Methyltransferase-Stimulatory Factor Heterodimer nsp16/nsp10 Bound to the Cofactor SAM.

Authors:  Md Fulbabu Sk; Nisha Amarnath Jonniya; Rajarshi Roy; Sayan Poddar; Parimal Kar
Journal:  Front Mol Biosci       Date:  2020-11-24

2.  The SARS-Cov-2 Proliferation Blocked by a Novel and Potent Main Protease Inhibitor via Computer-aided Drug Design.

Authors:  Sepideh Shayan; Shahab Jamaran; Rafee Habib Askandar; Arian Rahimi; Azam Elahi; Chiako Farshadfar; Noeman Ardalan
Journal:  Iran J Pharm Res       Date:  2021       Impact factor: 1.696

3.  Unraveling the Molecular Mechanism of Recognition of Selected Next-Generation Antirheumatoid Arthritis Inhibitors by Janus Kinase 1.

Authors:  Md Fulbabu Sk; Nisha Amarnath Jonniya; Rajarshi Roy; Parimal Kar
Journal:  ACS Omega       Date:  2022-02-09

4.  Computational studies indicated the effectiveness of human metabolites against SARS-Cov-2 main protease.

Authors:  Rajarshi Roy; Md Fulbabu Sk; Omprakash Tanwar; Parimal Kar
Journal:  Mol Divers       Date:  2022-08-18       Impact factor: 3.364

5.  The structural, dynamic, and thermodynamic basis of darunavir resistance of a heavily mutated HIV-1 protease using molecular dynamics simulation.

Authors:  Yaser Shabanpour; Sharareh Sajjadi; Esmaeil Behmard; Parviz Abdolmaleki; Amir Homayoun Keihan
Journal:  Front Mol Biosci       Date:  2022-08-15

6.  Identification of Food Compounds as inhibitors of SARS-CoV-2 main protease using molecular docking and molecular dynamics simulations.

Authors:  Vijay H Masand; Md Fulbabu Sk; Parimal Kar; Vesna Rastija; Magdi E A Zaki
Journal:  Chemometr Intell Lab Syst       Date:  2021-07-22       Impact factor: 3.491

  6 in total

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