GOR V server for protein secondary structure prediction

  • Authors:

  • Taner Z. Sen;Robert L. Jernigan;Jean Garnier;Andrzej Kloczkowski

  • Affiliations:

  • L.H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University Ames, IA 50011, USA;L.H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University Ames, IA 50011, USA;INRA---Unite MIG Bat. 233, Domaine de Vilvert 78352 Jouy en Josas Cedex, France;L.H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University Ames, IA 50011, USA

  • Venue:
  • Bioinformatics
  • Year:
  • 2005

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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. Availability: The GOR V server is freely accessible to public users and private institutions at http://gor.bb.iastate.edu/ Contact: kloczkow@iastate.edu