GOR V Server for Protein Secondary Structure Prediction

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2005 Mar 31

PMID 15797907

Citations 66

Authors

Taner Z Sen

Robert L Jernigan

Jean Garnier

Andrzej Kloczkowski

Affiliations

Soon will be listed here.

Abstract

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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