Literature DB >> 31283878

Theoretical Model for HIV-1 PR That Accounts for Substrate Recognition and Preferential Cleavage of Natural Substrates.

Zainab K Sanusi1, Monsurat M Lawal1, Thavendran Govender2, Glenn E M Maguire1,3, Bahareh Honarparvar1, Hendrik G Kruger1.   

Abstract

The Human Immunodeficiency Virus type 1 (HIV-1) protease is a crucial target for HIV/AIDS treatment, and understanding its catalytic mechanism is the basis on which HIV-1 enzyme inhibitors are developed. Several experimental studies have indicated that HIV-1 protease facilitates the cleavage of the Gag and Gag-Pol polyproteins and it is highly selective with regard to the cleaved amino acid precursors and physical parameters. However, the main theoretical principles of substrate specificity and recognition remain poorly understood theoretically. By means of a one-step concerted transition state modeling, the recognition of natural substrates by HIV-1 PR subtypes (B and C-SA) was studied. This was carried out to compare the activation free energies at varying peptide bond regions (scissile and nonscissile) within the polypeptide sequence using ONIOM calculations. We studied both P3-P3' and P5-P5' natural substrate systems. For P3-P3' substrates, excellent recognition was observed for the MA-CA family but not for the RH-IN substrates. Satisfactory recognition for the latter was only observed for the longer sequence (P5-P5') after the substrate was subjected to an MD run to maximize the interaction between the enzyme and the substrate. These results indicate that both sequence and structure are important for correct scissile bond recognition of these natural substrates.

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Year:  2019        PMID: 31283878     DOI: 10.1021/acs.jpcb.9b02207

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  2 in total

1.  Drug repurposing and computational modeling for discovery of inhibitors of the main protease (Mpro) of SARS-CoV-2.

Authors:  José Rogério A Silva; Hendrik G Kruger; Fábio A Molfetta
Journal:  RSC Adv       Date:  2021-07-02       Impact factor: 4.036

2.  Evaluating the Performance of a Non-Bonded Cu2+ Model Including Jahn-Teller Effect into the Binding of Tyrosinase Inhibitors.

Authors:  Lucas Sousa Martins; Jerônimo Lameira; Hendrik G Kruger; Cláudio Nahum Alves; José Rogério A Silva
Journal:  Int J Mol Sci       Date:  2020-07-06       Impact factor: 5.923

  2 in total

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