Literature DB >> 15797907

GOR V server for protein secondary structure prediction.

Taner Z Sen1, Robert L Jernigan, Jean Garnier, Andrzej Kloczkowski.   

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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Year:  2005        PMID： 15797907      PMCID： PMC2553678          DOI： 10.1093/bioinformatics/bti408

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  25 in total

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