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PMID: 15941743 Published · ppublish English Evaluation Study Journal Article Research Support, Non-U.S. Gov't

A new progressive-iterative algorithm for multiple structure alignment.

Bioinformatics (Oxford, England) ·Vol. 21 ·No. 15 ·2005-08-01 ·Pages 3255-63

Lupyan D, Leo-Macias A, Ortiz AR

Abstract

Multiple structure alignments are becoming important tools in many aspects of structural bioinformatics. The current explosion in the number of available protein structures demands multiple structural alignment algorithms with an adequate balance of accuracy and speed, for large scale applications in structural genomics, protein structure prediction and protein classification. A new multiple structural alignment program, MAMMOTH-mult, is described. It is demonstrated that the alignments obtained with the new method are an improvement over previous manual or automatic alignments available in several widely used databases at all structural levels. Detailed analysis of the structural alignments for a few representative cases indicates that MAMMOTH-mult delivers biologically meaningful trees and conservation at the sequence and structural levels of functional motifs in the alignments. An important improvement over previous methods is the reduction in computational cost. Typical alignments take only a median time of 5 CPU seconds in a single R12000 processor. MAMMOTH-mult is particularly useful for large scale applications. http://ub.cbm.uam.es/mammoth/mult.

MeSH Terms
Algorithms Amino Acid Sequence Artificial Intelligence Conserved Sequence Models, Chemical Models, Molecular Molecular Sequence Data Proteins/analysis,chemistry Sequence Alignment/methods Sequence Analysis, Protein/methods Sequence Homology, Amino Acid Software User-Computer Interface
Chemicals
Proteins
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Lupyan Dmitry
Department of Physiology and Biophysics, Mount Sinai School of Medicine, New York, NY 10029, USA.
Leo-Macias Alejandra
Ortiz Angel R
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2005-08-01
Epub
2005-00-07
Pages
3255-63
Language
English
Region
England
NLM ID
9808944
Subset
IM
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