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- Title
Comparative protein structure modeling by combining multiple templates and optimizing sequence-to-structure alignments.
- Authors
Narcis Fernandez-Fuentes; Brajesh K. Rai; Carlos J. Madrid-Aliste; J. Eduardo Fajardo; András Fiser
- Abstract
Motivation: Two major bottlenecks in advancing comparative protein structure modeling are the efficient combination of multiple template structures and the generation of a correct input target-template alignment. Results: A novel method, Multiple Mapping Method with Multiple Templates (M4T) is introduced that implements an algorithm to automatically select and combine Multiple Template structures (MT) and an alignment optimization protocol (Multiple Mapping Method, MMM). The MT module of M4T selects and combines multiple template structures through an iterative clustering approach that takes into account the ‘unique’ contribution of each template, their sequence similarity among themselves and to the target sequence, and their experimental resolution. MMM is a sequence-to-structure alignment method that optimally combines alternatively aligned regions according to their fit in the structural environment of the template structure. The resulting M4T alignment is used as input to a comparative modeling module. The performance of M4T has been benchmarked on CASP6 comparative modeling target sequences and on a larger independent test set, and showed favorable performance to current state of the art methods. Availability: A web server was established for the method at http://www.fiserlab.org/servers/M4T Contact: afiser@aecom.yu.edu or andras@fiserlab.org
- Subjects
ART &; state; CULTURAL policy; ART &; society; RESEMBLANCE (Philosophy)
- Publication
Bioinformatics, 2007, Vol 23, Issue 19, p2558
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btm377