Literature DB >> 7830273

A priori prediction of activity for HIV-1 protease inhibitors employing energy minimization in the active site.

M K Holloway1, J M Wai, T A Halgren, P M Fitzgerald, J P Vacca, B D Dorsey, R B Levin, W J Thompson, L J Chen, S J deSolms.   

Abstract

We have observed a high correlation between the intermolecular interaction energy (Einter) calculated for HIV-1 protease inhibitor complexes and the observed in vitro enzyme inhibition. A training set of 33 inhibitors containing modifications in the P1' and P2' positions was used to develop a regression equation which relates Einter and pIC50. This correlation was subsequently employed to successfully predict the activity of proposed HIV-1 protease inhibitors in advance of synthesis in a structure-based design program. This included a precursor, 47, to the current phase II clinical candidate, L-735,524 (51). The development of the correlation, its applications, and its limitations are discussed, and the force field (MM2X) and host molecular mechanics program (OPTIMOL) used in this work are described.

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Year:  1995        PMID: 7830273     DOI: 10.1021/jm00002a012

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  26 in total

1.  Computational design of D-peptide inhibitors of hepatitis delta antigen dimerization.

Authors:  C D Elkin; H J Zuccola; J M Hogle; D Joseph-McCarthy
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

2.  The maximal affinity of ligands.

Authors:  I D Kuntz; K Chen; K A Sharp; P A Kollman
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

3.  A comparative study of ligand-receptor complex binding affinity prediction methods based on glycogen phosphorylase inhibitors.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  1999-05       Impact factor: 3.686

4.  Inhibition and substrate recognition--a computational approach applied to HIV protease.

Authors:  H M Vinkers; M R de Jonge; E D Daeyaert; J Heeres; L M H Koymans; J H van Lenthe; P J Lewi; H Timmerman; P A J Janssen
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

5.  CoMFA and docking study of novel estrogen receptor subtype selective ligands.

Authors:  Peter Wolohan; David E Reichert
Journal:  J Comput Aided Mol Des       Date:  2003 May-Jun       Impact factor: 3.686

6.  Structure-based prediction of free energy changes of binding of PTP1B inhibitors.

Authors:  Jing Wang; Shek Ling Chan; Kal Ramnarayan
Journal:  J Comput Aided Mol Des       Date:  2003-08       Impact factor: 3.686

7.  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

8.  Protein-ligand binding free energy estimation using molecular mechanics and continuum electrostatics. Application to HIV-1 protease inhibitors.

Authors:  V Zoete; O Michielin; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2003-12       Impact factor: 3.686

9.  Chemical space: missing pieces in cheminformatics.

Authors:  Sean Ekins; Rishi R Gupta; Eric Gifford; Barry A Bunin; Chris L Waller
Journal:  Pharm Res       Date:  2010-08-04       Impact factor: 4.200

10.  Development of quantitative structure-binding affinity relationship models based on novel geometrical chemical descriptors of the protein-ligand interfaces.

Authors:  Shuxing Zhang; Alexander Golbraikh; Alexander Tropsha
Journal:  J Med Chem       Date:  2006-05-04       Impact factor: 7.446

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