Literature DB >> 8340918

Multiple copy simultaneous search and construction of ligands in binding sites: application to inhibitors of HIV-1 aspartic proteinase.

A Caflisch1, A Miranker, M Karplus.   

Abstract

Rational ligand design is a complex problem that can be divided into three parts: the search for optimal positions and orientations of functional groups in the binding site, the connection of such positions to form candidate ligands, and the estimation of their binding constants. Approaches for addressing the first two parts of the problem are described in the present work. They are applied to the construction of peptide ligands in the binding site of the human immunodeficiency virus 1 (HIV-1) proteinase. The primary objective is to test the method by comparison of the results with the MVT-101 complex structure for which coordinates are available; the results obtained with the liganded and unliganded proteinase structure are used to examine the utility of the latter for binding studies. A secondary objective is to show how to find new inhibitor candidates. The multiple copy simultaneous search (MCSS) method is utilized to search for optimal positions and orientations of a set of functional groups. For peptide ligands, functional groups corresponding to the protein main chain (N-methylacetamide) and to protein side chains (e.g., methanol, ethyl guanidinium) are used. The resulting N-methylacetamide minima are connected to form hexapeptide main chains with a simple pseudoenergy function that permits a complete search of all possible ways of connecting the minima. Side chains are added to the main-chain candidates by application of the same pseudoenergy function to the appropriate functional group minima. A set of 15 hexapeptides with the sequence of MVT-101 is then minimized by a Monte Carlo scheme, which allows for escape from local minima. Comparison of the MCSS results with the structure of MVT-101 in the HIV-1 binding site showed that all of its functional group positions correspond (within 2.4 A) to some (usually more than one) MCSS minima. There were also many other low-energy MCSS minima which do not appear in any known inhibitors, e.g., methyl ammonium minima in the neighborhood of the catalytic aspartates. Among the 15 lowest minima are seven hexapeptides with the same main-chain orientation as the one found by X-ray crystallography for the inhibitor MVT-101 in the binding site and eight with the main chain oriented in the opposite direction; the latter tend to be more stable. [Addendum: These results are in agreement with recent high-resolution crystallographic data provided after the study was completed.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1993        PMID: 8340918     DOI: 10.1021/jm00067a013

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


  44 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.  Design of dimerization inhibitors of HIV-1 aspartic proteinase: a computer-based combinatorial approach.

Authors:  A Caflisch; H J Schramm; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2000-02       Impact factor: 3.686

3.  Evaluation of designed ligands by a multiple screening method: application to glycogen phosphorylase inhibitors constructed with a variety of approaches.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

4.  A comparative docking study and the design of potentially selective MMP inhibitors.

Authors:  S Hanessian; N Moitessier; E Therrien
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

5.  Functional group placement in protein binding sites: a comparison of GRID and MCSS.

Authors:  R Bitetti-Putzer; D Joseph-McCarthy; J M Hogle; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

6.  Computational mapping identifies the binding sites of organic solvents on proteins.

Authors:  Sheldon Dennis; Tamas Kortvelyesi; Sandor Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-19       Impact factor: 11.205

7.  Predicting sequences and structures of MHC-binding peptides: a computational combinatorial approach.

Authors:  J Zen; H R Treutlein; G B Rudy
Journal:  J Comput Aided Mol Des       Date:  2001-06       Impact factor: 3.686

8.  Improved mapping of protein binding sites.

Authors:  Tamas Kortvelyesi; Michael Silberstein; Sheldon Dennis; Sandor Vajda
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

9.  Gaussian mapping of chemical fragments in ligand binding sites.

Authors:  Kun Wang; Marta Murcia; Pere Constans; Carlos Pérez; Angel R Ortiz
Journal:  J Comput Aided Mol Des       Date:  2004-02       Impact factor: 3.686

10.  Fragment-based identification of druggable 'hot spots' of proteins using Fourier domain correlation techniques.

Authors:  Ryan Brenke; Dima Kozakov; Gwo-Yu Chuang; Dmitri Beglov; David Hall; Melissa R Landon; Carla Mattos; Sandor Vajda
Journal:  Bioinformatics       Date:  2009-01-28       Impact factor: 6.937

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