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Nucleic Acids Research 2005 33(Web Server Issue):W77-W80; doi:10.1093/nar/gki403
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© The Author 2005. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oupjournals.org

Article

PROTINFO: new algorithms for enhanced protein structure predictions

Ling-Hong Hung, Shing-Chung Ngan, Tianyun Liu and Ram Samudrala*

Computational Genomics Group, Department of Microbiology, University of Washington School of Medicine Seattle, WA 98195, USA

*To whom correspondence should be addressed. Tel: +1 206 732 6122; Fax: +1 206 732 6055; Email: ram{at}compbio.washington.edu

Received March 14, 2005. Revised March 16, 2005. Accepted March 16, 2005.

We describe new algorithms and modules for protein structure prediction available as part of the PROTINFO web server. The modules, comparative and de novo modelling, have significantly improved back-end algorithms that were rigorously evaluated at the sixth meeting on the Critical Assessment of Protein Structure Prediction methods. We were one of four server groups invited to make an oral presentation (only the best performing groups are asked to do so). These two modules allow a user to submit a protein sequence and return atomic coordinates representing the tertiary structure of that protein. The PROTINFO server is available at http://protinfo.compbio.washington.edu.


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