Literature DB >> 19085023

Vicinity analysis: a methodology for the identification of similar protein active sites.

A McGready1, A Stevens, M Lipkin, B D Hudson, D C Whitley, M G Ford.   

Abstract

Vicinity analysis (VA) is a new methodology developed to identify similarities between protein binding sites based on their three-dimensional structure and the chemical similarity of matching residues. The major objective is to enable searching of the Protein Data Bank (PDB) for similar sub-pockets, especially in proteins from different structural and biochemical series. Inspection of the ligands bound in these pockets should allow ligand functionality to be identified, thus suggesting novel monomers for use in library synthesis. VA has been developed initially using the ATP binding site in kinases, an important class of protein targets involved in cell signalling and growth regulation. This paper defines the VA procedure and describes matches to the phosphate binding sub-pocket of cyclin-dependent protein kinase 2 that were found by searching a small test database that has also been used to parameterise the methodology.

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Year:  2008        PMID: 19085023     DOI: 10.1007/s00894-008-0424-7

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  15 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Graph-theoretic techniques for macromolecular docking

Authors: 
Journal:  J Chem Inf Comput Sci       Date:  2000-03

3.  Automated analysis of interatomic contacts in proteins.

Authors:  V Sobolev; A Sorokine; J Prilusky; E E Abola; M Edelman
Journal:  Bioinformatics       Date:  1999-04       Impact factor: 6.937

4.  A new method to detect related function among proteins independent of sequence and fold homology.

Authors:  Stefan Schmitt; Daniel Kuhn; Gerhard Klebe
Journal:  J Mol Biol       Date:  2002-10-18       Impact factor: 5.469

5.  Searching for patterns of amino acids in 3D protein structures.

Authors:  Ruth V Spriggs; Peter J Artymiuk; Peter Willett
Journal:  J Chem Inf Comput Sci       Date:  2003 Mar-Apr

6.  SURFCOMP: a novel graph-based approach to molecular surface comparison.

Authors:  Christian Hofbauer; Hans Lohninger; András Aszódi
Journal:  J Chem Inf Comput Sci       Date:  2004 May-Jun

7.  LFM-Pro: a tool for detecting significant local structural sites in proteins.

Authors:  Ahmet Sacan; Ozgur Ozturk; Hakan Ferhatosmanoglu; Yusu Wang
Journal:  Bioinformatics       Date:  2007-01-19       Impact factor: 6.937

8.  Recognizing protein binding sites using statistical descriptions of their 3D environments.

Authors:  L Wei; R B Altman
Journal:  Pac Symp Biocomput       Date:  1998

9.  CATH--a hierarchic classification of protein domain structures.

Authors:  C A Orengo; A D Michie; S Jones; D T Jones; M B Swindells; J M Thornton
Journal:  Structure       Date:  1997-08-15       Impact factor: 5.006

10.  Peptide quantitative structure-activity relationships, a multivariate approach.

Authors:  S Hellberg; M Sjöström; B Skagerberg; S Wold
Journal:  J Med Chem       Date:  1987-07       Impact factor: 7.446

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