Literature DB >> 2319595

Use of techniques derived from graph theory to compare secondary structure motifs in proteins.

E M Mitchell1, P J Artymiuk, D W Rice, P Willett.   

Abstract

A substructure matching algorithm is described that can be used for the automatic identification of secondary structural motifs in three-dimensional protein structures from the Protein Data Bank. The proteins and motifs are stored for searching as labelled graphs, with the nodes of a graph corresponding to linear representations of helices and strands and the edges to the inter-line angles and distances. A modification of Ullman's subgraph isomorphism algorithm is described that can be used to search these graph representations. Tests with patterns from the protein structure literature demonstrate both the efficiency and the effectiveness of the search procedure, which has been implemented in FORTRAN 77 on a MicroVAX-II system, coupled to the molecular fitting program FRODO on an Evans and Sutherland PS300 graphics system.

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Year:  1990        PMID: 2319595     DOI: 10.1016/0022-2836(90)90312-A

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


  25 in total

Review 1.  Classification of protein folds.

Authors:  Robert B Russell
Journal:  Mol Biotechnol       Date:  2002-01       Impact factor: 2.695

2.  Multiple structural alignment by secondary structures: algorithm and applications.

Authors:  Oranit Dror; Hadar Benyamini; Ruth Nussinov; Haim J Wolfson
Journal:  Protein Sci       Date:  2003-11       Impact factor: 6.725

3.  Representation, searching and discovery of patterns of bases in complex RNA structures.

Authors:  Anne-Marie Harrison; Darren R South; Peter Willett; Peter J Artymiuk
Journal:  J Comput Aided Mol Des       Date:  2003-08       Impact factor: 3.686

4.  The CATH database: an extended protein family resource for structural and functional genomics.

Authors:  F M G Pearl; C F Bennett; J E Bray; A P Harrison; N Martin; A Shepherd; I Sillitoe; J Thornton; C A Orengo
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

5.  A hybrid genetic-neural system for predicting protein secondary structure.

Authors:  Giuliano Armano; Gianmaria Mancosu; Luciano Milanesi; Alessandro Orro; Massimiliano Saba; Eloisa Vargiu
Journal:  BMC Bioinformatics       Date:  2005-12-01       Impact factor: 3.169

Review 6.  Data clustering in life sciences.

Authors:  Ying Zhao; George Karypis
Journal:  Mol Biotechnol       Date:  2005-09       Impact factor: 2.695

Review 7.  Exploiting protein structure data to explore the evolution of protein function and biological complexity.

Authors:  Russell L Marsden; Juan A G Ranea; Antonio Sillero; Oliver Redfern; Corin Yeats; Michael Maibaum; David Lee; Sarah Addou; Gabrielle A Reeves; Timothy J Dallman; Christine A Orengo
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2006-03-29       Impact factor: 6.237

8.  A database of protein structure families with common folding motifs.

Authors:  L Holm; C Ouzounis; C Sander; G Tuparev; G Vriend
Journal:  Protein Sci       Date:  1992-12       Impact factor: 6.725

9.  Comparison of protein surfaces using a genetic algorithm.

Authors:  A R Poirrette; P J Artymiuk; D W Rice; P Willett
Journal:  J Comput Aided Mol Des       Date:  1997-11       Impact factor: 3.686

10.  TESS: a geometric hashing algorithm for deriving 3D coordinate templates for searching structural databases. Application to enzyme active sites.

Authors:  A C Wallace; N Borkakoti; J M Thornton
Journal:  Protein Sci       Date:  1997-11       Impact factor: 6.725

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