GOR V server for protein secondary structure prediction |
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Authors: | Sen Taner Z Jernigan Robert L Garnier Jean Kloczkowski Andrzej |
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Affiliation: | L.H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University Ames, IA 50011, USA. |
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Abstract: | SUMMARY: 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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