Literature DB >> 21545127

Detailed atomistic analysis of the HIV-1 protease interface.

Sérgio Filipe Sousa1, Bruno Tamames, Pedro Alexandrino Fernandes, Maria João Ramos.   

Abstract

HIV-1 protease is a very attractive target for the development of new anti-HIV drugs and has been extensively studied over the past decades. In this study, we present a detailed atomic level characterization of the dimer interface in the enzyme HIV-1 protease through computational alanine scanning mutagenesis and molecular dynamics simulations. In addition to a full mapping of the amino acid residues present at the subunit interface, in terms of the corresponding energetic contribution for dimer formation and of their classification as hot spots, warm spots, and null spots, we trace a dynamic analysis of the subunit interacting and solvent accessible surface areas and of the most important hydrogen bonds between subunits. The results presented illustrate the high energetic importance for dimer formation of a small set of five amino acid residue pairs at the subunit interface-Leu5, Ile50, Arg87, Leu97, and Phe99-and provide important clues on the most important structural and energetic determinants for dimer formation. In addition, the results presented suggest several key targets at the subunit interface for the development of new molecules that aim to inhibit HIV-1 protease (PR) activity through blocking the formation of the fully active PR homodimeric form, providing important clues for drug design.

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Year:  2011        PMID: 21545127     DOI: 10.1021/jp200075s

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


  5 in total

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Journal:  Bioengineered       Date:  2016-04-02       Impact factor: 3.269

2.  Discovery of new druggable sites in the anti-cholesterol target HMG-CoA reductase by computational alanine scanning mutagenesis.

Authors:  D S Gesto; N M F S A Cerqueira; M J Ramos; P A Fernandes
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Journal:  PLoS One       Date:  2022-04-22       Impact factor: 3.752

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Authors:  Tiia Kittilä; Patricia Calero; Folmer Fredslund; Phillip T Lowe; David Tezé; Manuel Nieto-Domínguez; David O'Hagan; Pablo I Nikel; Ditte H Welner
Journal:  Microb Biotechnol       Date:  2022-01-27       Impact factor: 6.575

5.  Understanding the molecular basis of EGFR kinase domain/MIG-6 peptide recognition complex using computational analyses.

Authors:  Ninnutt Moonrin; Napat Songtawee; Siriluk Rattanabunyong; Surasuk Chunsrivirot; Wanwimon Mokmak; Sissades Tongsima; Kiattawee Choowongkomon
Journal:  BMC Bioinformatics       Date:  2015-03-27       Impact factor: 3.169

  5 in total

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