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Consensus alignment server for reliable comparative modeling with distant templates
Author(s) -
J C Prasad,
Szilárd Vajda,
Carlos J. Camacho
Publication year - 2004
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkh456
Subject(s) - template , upload , computer science , multiple sequence alignment , sequence alignment , web server , biology , copying , consensus sequence , set (abstract data type) , structural alignment , sequence (biology) , reliability (semiconductor) , data mining , computational biology , the internet , peptide sequence , genetics , operating system , base sequence , programming language , dna , power (physics) , physics , quantum mechanics , gene
Consensus is a server developed to produce high-quality alignments for comparative modeling, and to identify the alignment regions reliable for copying from a given template. This is accomplished even when target-template sequence identity is as low as 5%. Combining the output from five different alignment methods, the server produces a consensus alignment, with a reliability measure indicated for each position and a prediction of the regions suitable for modeling. Models built using the server predictions are typically within 3 A rms deviations from the crystal structure. Users can upload a target protein sequence and specify a template (PDB code); if no template is given, the server will search for one. The method has been validated on a large set of homologous protein structure pairs. The Consensus server should prove useful for modelers for whom the structural reliability of the model is critical in their applications. It is currently available at http://structure.bu.edu/cgi-bin/consensus/consensus.cgi.

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