GOR V server for protein secondary structure prediction

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2005-06-01
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Sen, Taner
Garnier, Jean
Kloczkowski, Andrzej
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We have created the GOR V web server for protein secondary structure prediction. The GOR V algorithm combines information theory, Bayesian statistics and evolutionary information. In its fifth version, the GOR method reached (with the full jack-knife procedure) an accuracy of prediction Q3 of 73.5%. Although GOR V has been among the most successful methods, its online unavailability has been a deterrent to its popularity. Here, we remedy this situation by creating the GOR V server.

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Biochemistry, Biophysics and Molecular Biology, Roy J. Carver Department of
Baker Center for Bioinformatics and Biological Statistics
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This is a manuscript of an article published as Sen, Taner Z., Robert L. Jernigan, Jean Garnier, and Andrzej Kloczkowski. "GOR V server for protein secondary structure prediction." Bioinformatics 21, no. 11 (2005): 2787-2788. doi:10.1093/bioinformatics/bti408. Posted with permission.

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Sat Jan 01 00:00:00 UTC 2005
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