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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
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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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