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Development and validation of a consistency based multiple structure alignment algorithm
Author(s) -
Jessica Ebert,
Douglas L. Brutlag
Publication year - 2006
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/btl046
Subject(s) - pairwise comparison , consistency (knowledge bases) , multiple sequence alignment , computer science , algorithm , sequence alignment , set (abstract data type) , source code , data mining , structural alignment , theoretical computer science , artificial intelligence , biology , genetics , peptide sequence , gene , programming language , operating system
We introduce an algorithm that uses the information gained from simultaneous consideration of an entire group of related proteins to create multiple structure alignments (MSTAs). Consistency-based alignment (CBA) first harnesses the information contained within regions that are consistently aligned among a set of pairwise superpositions in order to realign pairs of proteins through both global and local refinement methods. It then constructs a multiple alignment that is maximally consistent with the improved pairwise alignments. We validate CBA's alignments by assessing their accuracy in regions where at least two of the aligned structures contain the same conserved sequence motif.

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