4.6 Article

PCBOST: Protein classification based on structural trees

期刊

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.bbrc.2010.05.136

关键词

Protein structure comparison; Classification; Modeling

资金

  1. Russian Foundation for Basic Research [10-04-00727]
  2. Federal Agency for Science and Innovations [02.740.11.0295]

向作者/读者索取更多资源

In this paper, we present the protein classification based on structural trees (PCBOST). This is a novel hierarchical classification of proteins that is primarily based on similarity of overall folds of proteins as well as on the modeled folding pathways of proteins. Amino acid sequences, functions of proteins and their evolutionary relationship are not taken into account in this classification. To date the database includes 3847 proteins and domains grouped into six categories having structural similarity and forming six structural trees (total 10,547 PDB-entries). The work on extension of the database and construction of novel structural trees is in progress. The service is free for all users and available at the URL http://strees.protres.ru/. (C) 2010 Elsevier Inc. All rights reserved.

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