title: GOR V server for protein secondary structure prediction.
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.
authors.affiliation: L.H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University Ames, IA 50011, USA.
authors.forename: Taner Z
authors.initials: TZ
authors.lastname: Sen
authors.forename: Robert L
authors.initials: RL
authors.lastname: Jernigan
authors.forename: Jean
authors.initials: J
authors.lastname: Garnier
authors.forename: Andrzej
authors.initials: A
authors.lastname: Kloczkowski
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D020407:Internet; D008956:Models, Chemical; D008958:Models, Molecular; D017433:Protein Structure, Secondary; D011506:Proteins / Q000032:analysis / Q000737:chemistry*; D016415:Sequence Alignment / Q000379:methods*; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software; D014584:User-Computer Interface
chemical_list: D011506:Proteins