MUSTANG: A multiple structural alignment algorithm
Author
Konagurthu, AS; Whisstock, JC; Stuckey, PJ; Lesk, AMDate
2006-08-15Source Title
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICSPublisher
WILEYAffiliation
Computer Science and Software EngineeringMetadata
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Journal ArticleCitations
Konagurthu, A. S., Whisstock, J. C., Stuckey, P. J. & Lesk, A. M. (2006). MUSTANG: A multiple structural alignment algorithm. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 64 (3), pp.559-574. https://doi.org/10.1002/prot.20921.Access Status
This item is currently not available from this repositoryAbstract
Multiple structural alignment is a fundamental problem in structural genomics. In this article, we define a reliable and robust algorithm, MUSTANG (MUltiple STructural AligNment AlGorithm), for the alignment of multiple protein structures. Given a set of protein structures, the program constructs a multiple alignment using the spatial information of the C(alpha) atoms in the set. Broadly based on the progressive pairwise heuristic, this algorithm gains accuracy through novel and effective refinement phases. MUSTANG reports the multiple sequence alignment and the corresponding superposition of structures. Alignments generated by MUSTANG are compared with several handcurated alignments in the literature as well as with the benchmark alignments of 1033 alignment families from the HOMSTRAD database. The performance of MUSTANG was compared with DALI at a pairwise level, and with other multiple structural alignment tools such as POSA, CE-MC, MALECON, and MultiProt. MUSTANG performs comparably to popular pairwise and multiple structural alignment tools for closely related proteins, and performs more reliably than other multiple structural alignment methods on hard data sets containing distantly related proteins or proteins that show conformational changes.
Keywords
Artificial Intelligence and Image ProcessingExport Reference in RIS Format
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