Method for identification of rigid domains and hinge residues in proteins based on exhaustive enumeration

ABSTRACT Many proteins undergo large‐scale motions where relatively rigid domains move against each other. The identification of rigid domains, as well as the hinge residues important for their relative movements, is important for various applications including flexible docking simulations. In this...

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Published in:Proteins, structure, function, and bioinformatics Vol. 83; no. 6; pp. 1054 - 1067
Main Authors: Sim, Jaehyun, Sim, Jun, Park, Eunsung, Lee, Julian
Format: Journal Article
Language:English
Published: United States Blackwell Publishing Ltd 01-06-2015
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Summary:ABSTRACT Many proteins undergo large‐scale motions where relatively rigid domains move against each other. The identification of rigid domains, as well as the hinge residues important for their relative movements, is important for various applications including flexible docking simulations. In this work, we develop a method for protein rigid domain identification based on an exhaustive enumeration of maximal rigid domains, the rigid domains not fully contained within other domains. The computation is performed by mapping the problem to that of finding maximal cliques in a graph. A minimal set of rigid domains are then selected, which cover most of the protein with minimal overlap. In contrast to the results of existing methods that partition a protein into non‐overlapping domains using approximate algorithms, the rigid domains obtained from exact enumeration naturally contain overlapping regions, which correspond to the hinges of the inter‐domain bending motion. The performance of the algorithm is demonstrated on several proteins. Proteins 2015; 83:1054–1067. © 2015 Wiley Periodicals, Inc.
Bibliography:ArticleID:PROT24799
Korea Healthcare Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea - No. HI12C0675
ark:/67375/WNG-CKXZNTP9-0
istex:A176BA20EB4D8F849DAE5CC3B61F659C46794925
Jun Sim and Jaehyun Sim contributed equally to this work.
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ISSN:0887-3585
1097-0134
DOI:10.1002/prot.24799