期刊
BIOINFORMATICS
卷 21, 期 11, 页码 2787-2788出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bti408
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资金
- NIGMS NIH HHS [R21GM066387, R21 GM066387, R33 GM066387-03, R01GM072014, R21 GM066387-01A1, R33 GM066387, R01 GM072014, R21 GM066387-02, R33 GM066387-04] Funding Source: Medline
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 Q(3) 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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