Literature DB >> 8164256

Calculation of relative differences in the binding free energies of HIV1 protease inhibitors: a thermodynamic cycle perturbation approach.

M R Reddy1, M D Varney, V Kalish, V N Viswanadhan, K Appelt.   

Abstract

An iterative computer-assisted drug design (CADD) method that combines molecular mechanics, dynamics, thermodynamic cycle perturbation (TCP) calculations, molecular design, synthesis, and biochemical testing of peptidomimetic inhibitors and crystallographic structure determination of the protein-inhibitor complexes has been successfully applied to the design of novel inhibitors for the HIV1 protease. The first "designer" compound in this series (I) was designed by replacing the C-terminal Val-Val methyl ester of a known hydroxyethylene inhibitor with a diphenhydramine amide derivative in which two phenyl groups fill the p2' and p3' side-chain binding pockets in the HIV1 protease. Subsequent testing showed modest inhibition (Ki = 1.67 microM). Concurrently, molecular mechanics calculations on designed analogs indicated the feasibility of replacement of a phenyl ring with an indole ring (II). Synthesis and biochemical testing resulted in better inhibition potency for II. X-ray crystal structure determination of HIV1 protease complexed with I and II provided structural information for subsequent design and TCP calculations. A TCP protocol was established and validated for the mutation of I-->II. TCP results showed a net gain of 2.1 (+/- 0.9) kcal/mol in replacing II with I, which agreed with experimental result within an error margin of 0.8 kcal/mol. TCP calculations for six other mutations (I-->III, II-->III, IV, V, VI, and VII) were performed prior to synthesis and testing. These results allowed for the prioritization of design ideas for synthesis. In all cases where experimental results are available, TCP calculations showed good agreement. These results demonstrate that the TCP approach can be used with medicinal chemistry and crystallography for screening the proposed derivatives of a lead compound prior to synthesis, thus potentially reducing the time for the discovery of new drugs.

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Year:  1994        PMID: 8164256     DOI: 10.1021/jm00034a012

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


  8 in total

1.  Does a diol cyclic urea inhibitor of HIV-1 protease bind tighter than its corresponding alcohol form? A study by free energy perturbation and continuum electrostatics calculations.

Authors:  L Wang; Y Duan; P Stouten; G V De Lucca; R M Klabe; P A Kollman
Journal:  J Comput Aided Mol Des       Date:  2001-02       Impact factor: 3.686

2.  Protein ligand docking based on empirical method for binding affinity estimation.

Authors:  P Tao; L Lai
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

Review 3.  Identification of HIV inhibitors guided by free energy perturbation calculations.

Authors:  Orlando Acevedo; Zandrea Ambrose; Patrick T Flaherty; Hadega Aamer; Prashi Jain; Somisetti V Sambasivarao
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

4.  Improved convergence of binding affinities with free energy perturbation: application to nonpeptide ligands with pp60src SH2 domain.

Authors:  D J Price; W L Jorgensen
Journal:  J Comput Aided Mol Des       Date:  2001-08       Impact factor: 3.686

5.  Relative energies of binding for antibody-carbohydrate-antigen complexes computed from free-energy simulations.

Authors:  A Pathiaseril; R J Woods
Journal:  J Am Chem Soc       Date:  2000-01-19       Impact factor: 15.419

6.  A preference-based free-energy parameterization of enzyme-inhibitor binding. Applications to HIV-1-protease inhibitor design.

Authors:  A Wallqvist; R L Jernigan; D G Covell
Journal:  Protein Sci       Date:  1995-09       Impact factor: 6.725

7.  Calculation of solvation and binding free energy differences between VX-478 and its analogs by free energy perturbation and AMSOL methods.

Authors:  B G Rao; E E Kim; M A Murcko
Journal:  J Comput Aided Mol Des       Date:  1996-02       Impact factor: 3.686

8.  Very empirical treatment of solvation and entropy: a force field derived from log Po/w.

Authors:  G E Kellogg; J C Burnett; D J Abraham
Journal:  J Comput Aided Mol Des       Date:  2001-04       Impact factor: 3.686

  8 in total

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