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GOR V server for protein secondary structure prediction.

Taner Z Sen1, Robert L Jernigan, Jean Garnier

  • 1L.H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University Ames, IA 50011, USA.

Bioinformatics (Oxford, England)
|March 31, 2005
PubMed
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The GOR V web server for protein secondary structure prediction is now available online. This updated method uses evolutionary information and Bayesian statistics to achieve 73.5% prediction accuracy.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Protein secondary structure prediction is crucial for understanding protein function.
  • Accurate prediction methods are essential for structural biology research.
  • Previous versions of GOR V showed high accuracy but lacked online accessibility.

Purpose of the Study:

  • To develop and release the GOR V web server for accessible protein secondary structure prediction.
  • To make the GOR V algorithm, a highly accurate prediction method, readily available to the scientific community.
  • To address the popularity barrier caused by the previous online unavailability of GOR V.

Main Methods:

  • The GOR V algorithm integrates information theory, Bayesian statistics, and evolutionary information.

Related Experiment Videos

  • A full jack-knife procedure was employed for rigorous evaluation.
  • Development of a user-friendly web server interface.

    • Main Results:

    • The GOR V algorithm achieved a Q3 prediction accuracy of 73.5% using the jack-knife procedure.
    • The newly created GOR V web server provides online access to this accurate prediction tool.
    • The server aims to enhance the adoption and utility of the GOR V method.

    Conclusions:

    • The GOR V web server is now available, offering a powerful tool for protein secondary structure prediction.
    • This release remedies the online unavailability issue, promoting wider use of the GOR V method.
    • The server facilitates research in structural biology by providing easy access to accurate predictions.