Literature DB >> 8609611

The automatic search for ligand binding sites in proteins of known three-dimensional structure using only geometric criteria.

K P Peters1, J Fauck, C Frömmel.   

Abstract

The biological function of a protein typically depends on the structure of specific binding sites. These sites are located at the surface of the protein molecule and are determined by geometrical arrangements and physico-chemical properties of tens of non-hydrogen atoms. In this paper we describe a new algorithm called APROPOS, based purely on geometric criteria for identifying such binding sites using atomic co-ordinates. For the description of the protein shape we use an alpha-shape algorithm which generates a whole family of shapes with different levels of detail. Comparing shapes of different resolution we find cavities on the surface of the protein responsible for ligand binding. The algorithm correctly locates more than 95% of all binding sites for ligands and prosthetic groups of molecular mass between about 100 and 2000 Da in a representative set of proteins. Only in very few proteins does the method find binding sites of single ions outside the active site of enzymes. With one exception, we observe that interfaces between subunits show different geometric features compared to binding sites of ligands. Our results clearly support the view that protein-protein interactions occur between flat areas of protein surface whereas specific interactions of smaller ligands take place in pockets in the surface.

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Year:  1996        PMID: 8609611     DOI: 10.1006/jmbi.1996.0077

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  47 in total

1.  A systematic study of low-resolution recognition in protein--protein complexes.

Authors:  I A Vakser; O G Matar; C F Lam
Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-20       Impact factor: 11.205

2.  Are proteins well-packed?

Authors:  J Liang; K A Dill
Journal:  Biophys J       Date:  2001-08       Impact factor: 4.033

3.  Protein-protein interactions: structurally conserved residues distinguish between binding sites and exposed protein surfaces.

Authors:  Buyong Ma; Tal Elkayam; Haim Wolfson; Ruth Nussinov
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-01       Impact factor: 11.205

4.  SiteLight: binding-site prediction using phage display libraries.

Authors:  Inbal Halperin; Haim Wolfson; Ruth Nussinov
Journal:  Protein Sci       Date:  2003-07       Impact factor: 6.725

5.  Modeling shape and topology of low-resolution density maps of biological macromolecules.

Authors:  Pedro A De-Alarcón; Alberto Pascual-Montano; Amarnath Gupta; Jose M Carazo
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

6.  Mapping protein pockets through their potential small-molecule binding volumes: QSCD applied to biological protein structures.

Authors:  Keith Mason; Nehal M Patel; Aric Ledel; Ciamac C Moallemi; Edward A Wintner
Journal:  J Comput Aided Mol Des       Date:  2004-01       Impact factor: 3.686

7.  Prediction of ligand-binding sites of proteins by molecular docking calculation for a random ligand library.

Authors:  Yoshifumi Fukunishi; Haruki Nakamura
Journal:  Protein Sci       Date:  2011-01       Impact factor: 6.725

8.  HotPatch: a statistical approach to finding biologically relevant features on protein surfaces.

Authors:  Frank K Pettit; Emiko Bare; Albert Tsai; James U Bowie
Journal:  J Mol Biol       Date:  2007-03-21       Impact factor: 5.469

Review 9.  FINDSITE: a combined evolution/structure-based approach to protein function prediction.

Authors:  Jeffrey Skolnick; Michal Brylinski
Journal:  Brief Bioinform       Date:  2009-03-26       Impact factor: 11.622

10.  McVol - a program for calculating protein volumes and identifying cavities by a Monte Carlo algorithm.

Authors:  Mirco S Till; G Matthias Ullmann
Journal:  J Mol Model       Date:  2009-07-22       Impact factor: 1.810

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