Literature DB >> 10235621

Protein structural domain identification.

W R Taylor1.   

Abstract

A simple method for the definition of protein structural domains is described that requires only alpha-carbon coordinate data. The basic method, which encodes no specific aspects of protein structure, captures the essence of most domains but does not give high enough priority to the integrity of beta-sheet structure. This aspect was encouraged both by a bias toward attaining intact beta-sheets and also as an acceptance condition on the final result. The method has only one variable parameter, reflecting the granularity level of the domains, and an attempt was made to set this level automatically for each protein based on the best agreement attained between the domains predicted on the native structure and a set of smoothed coordinates. While not perfect, this feature allowed some tightly packed domains to be separated that would have remained undivided had the best fixed granularity level been used. The quality of the results was high and, when compared with a large collection of accepted domain definitions, only a few could be said to be clearly incorrect. The simplicity of the method allowed its easy extension to the simultaneous definition of domains across related structures in a way that does not involve loss of detail through averaging the structures. This was found to be a useful approach to reconciling differences among structural family members. The method is fast, taking less than 1 s per 100 residues for medium-sized proteins.

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Mesh:

Year:  1999        PMID: 10235621     DOI: 10.1093/protein/12.3.203

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  24 in total

1.  Improving the performance of DomainParser for structural domain partition using neural network.

Authors:  Jun-tao Guo; Dong Xu; Dongsup Kim; Ying Xu
Journal:  Nucleic Acids Res       Date:  2003-02-01       Impact factor: 16.971

2.  Sequence-based prediction of protein domains.

Authors:  Jinfeng Liu; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2004-07-07       Impact factor: 16.971

3.  Prediction of structures of multidomain proteins from structures of the individual domains.

Authors:  Andrew M Wollacott; Alexandre Zanghellini; Paul Murphy; David Baker
Journal:  Protein Sci       Date:  2006-12-22       Impact factor: 6.725

4.  Protein domain assignment from the recurrence of locally similar structures.

Authors:  Chin-Hsien Tai; Vichetra Sam; Jean-Francois Gibrat; Jean Garnier; Peter J Munson; Byungkook Lee
Journal:  Proteins       Date:  2010-12-22

5.  DDOMAIN: Dividing structures into domains using a normalized domain-domain interaction profile.

Authors:  Hongyi Zhou; Bin Xue; Yaoqi Zhou
Journal:  Protein Sci       Date:  2007-05       Impact factor: 6.725

6.  A topological algorithm for identification of structural domains of proteins.

Authors:  Frank Emmert-Streib; Arcady Mushegian
Journal:  BMC Bioinformatics       Date:  2007-07-03       Impact factor: 3.169

7.  Structure prediction of domain insertion proteins from structures of individual domains.

Authors:  Monica Berrondo; Marc Ostermeier; Jeffrey J Gray
Journal:  Structure       Date:  2008-04       Impact factor: 5.006

8.  IS-Dom: a dataset of independent structural domains automatically delineated from protein structures.

Authors:  Teppei Ebina; Yuki Umezawa; Yutaka Kuroda
Journal:  J Comput Aided Mol Des       Date:  2013-05-29       Impact factor: 3.686

9.  Analysis of CASP8 targets, predictions and assessment methods.

Authors:  Shuoyong Shi; Jimin Pei; Ruslan I Sadreyev; Lisa N Kinch; Indraneel Majumdar; Jing Tong; Hua Cheng; Bong-Hyun Kim; Nick V Grishin
Journal:  Database (Oxford)       Date:  2009-04-14       Impact factor: 3.451

10.  Optimal identification of semi-rigid domains in macromolecules from molecular dynamics simulation.

Authors:  Stefan Bernhard; Frank Noé
Journal:  PLoS One       Date:  2010-05-13       Impact factor: 3.240

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