Literature DB >> 10388843

Molecular mechanics analysis of drug-resistant mutants of HIV protease.

I T Weber1, R W Harrison.   

Abstract

Drug-resistant mutants of HIV-1 protease limit the long-term effectiveness of current anti-viral therapy. In order to study drug resistance, the wild-type HIV-1 protease and the mutants R8Q, V32I, M46I, V82A, V82I, V82F, I84V, V32I/I84V and M46I/I84V were modeled with the inhibitors saquinavir and indinavir using the program AMMP. A new screen term was introduced to reproduce more correctly the electron distribution of atoms. The atomic partial charge was represented as a delocalized charge distribution instead of a point charge. The calculated protease-saquinavir interaction energies showed the highly significant correlation of 0.79 with free energy differences derived from the measured inhibition constants for all 10 models. Three different protonation states of indinavir were evaluated. The best indinavir model included a sulfate and gave a correlation coefficient of 0.68 between the calculated interaction energies and free energies from inhibition constants for nine models. The exception was R8Q with indinavir, probably due to differences in the solvation energy. No significant correlation was found using the standard molecular mechanics terms. The incorporation of the new screen correction resulted in better prediction of the effects of inhibitors on resistant protease variants and has potential for selecting more effective inhibitors for resistant virus.

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Year:  1999        PMID: 10388843     DOI: 10.1093/protein/12.6.469

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  9 in total

1.  A comparative study of HIV-1 and HTLV-I protease structure and dynamics reveals a conserved residue interaction network.

Authors:  Pia Rücker; Anselm H C Horn; Heike Meiselbach; Heinrich Sticht
Journal:  J Mol Model       Date:  2011-01-29       Impact factor: 1.810

2.  Structure-based phenotyping predicts HIV-1 protease inhibitor resistance.

Authors:  Mark D Shenderovich; Ron M Kagan; Peter N R Heseltine; Kal Ramnarayan
Journal:  Protein Sci       Date:  2003-08       Impact factor: 6.725

3.  Molecular dynamics simulations of 14 HIV protease mutants in complexes with indinavir.

Authors:  Xianfeng Chen; Irene T Weber; Robert W Harrison
Journal:  J Mol Model       Date:  2004-09-28       Impact factor: 1.810

4.  Elucidating the Interdependence of Drug Resistance from Combinations of Mutations.

Authors:  Debra A Ragland; Troy W Whitfield; Sook-Kyung Lee; Ronald Swanstrom; Konstantin B Zeldovich; Nese Kurt-Yilmaz; Celia A Schiffer
Journal:  J Chem Theory Comput       Date:  2017-10-09       Impact factor: 6.006

5.  Conformational variation of an extreme drug resistant mutant of HIV protease.

Authors:  Chen-Hsiang Shen; Yu-Chung Chang; Johnson Agniswamy; Robert W Harrison; Irene T Weber
Journal:  J Mol Graph Model       Date:  2015-09-08       Impact factor: 2.518

6.  Interference between D30N and L90M in selection and development of protease inhibitor-resistant human immunodeficiency virus type 1.

Authors:  Wataru Sugiura; Zene Matsuda; Yoshiyuki Yokomaku; Kurt Hertogs; Brendan Larder; Tsuyoshi Oishi; Aiko Okano; Teiichirou Shiino; Masashi Tatsumi; Masakazu Matsuda; Hanae Abumi; Noboru Takata; Satoshi Shirahata; Kaneo Yamada; Hiroshi Yoshikura; Yoshiyuki Nagai
Journal:  Antimicrob Agents Chemother       Date:  2002-03       Impact factor: 5.191

7.  Predicting drug resistance of the HIV-1 protease using molecular interaction energy components.

Authors:  Tingjun Hou; Wei Zhang; Jian Wang; Wei Wang
Journal:  Proteins       Date:  2009-03

Review 8.  Peptide bioinformatics: peptide classification using peptide machines.

Authors:  Zheng Rong Yang
Journal:  Methods Mol Biol       Date:  2008

9.  AMMOS: Automated Molecular Mechanics Optimization tool for in silico Screening.

Authors:  Tania Pencheva; David Lagorce; Ilza Pajeva; Bruno O Villoutreix; Maria A Miteva
Journal:  BMC Bioinformatics       Date:  2008-10-16       Impact factor: 3.169

  9 in total

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