GOSSIP: a method for fast and accurate global alignment of protein structures | Zendy

Ilona Kifer | Zendy; Ruth Nussinov | Zendy; Haim J. Wolfson | Zendy

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GOSSIP: a method for fast and accurate global alignment of protein structures

Author(s) -

Ilona Kifer,

Ruth Nussinov,

Haim J. Wolfson

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr044

Subject(s) - executable , gossip , computer science , cluster analysis , set (abstract data type) , threading (protein sequence) , data structure , data mining , multiple sequence alignment , sequence (biology) , task (project management) , structural alignment , gossip protocol , algorithm , sequence alignment , theoretical computer science , protein structure , artificial intelligence , scalability , database , peptide sequence , chemistry , genetics , biology , operating system , psychology , social psychology , biochemistry , management , programming language , physics , nuclear magnetic resonance , economics , gene

The database of known protein structures (PDB) is increasing rapidly. This results in a growing need for methods that can cope with the vast amount of structural data. To analyze the accumulating data, it is important to have a fast tool for identifying similar structures and clustering them by structural resemblance. Several excellent tools have been developed for the comparison of protein structures. These usually address the task of local structure alignment, an important yet computationally intensive problem due to its complexity. It is difficult to use such tools for comparing a large number of structures to each other at a reasonable time.

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