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OCTOPUS: improving topology prediction by two-track ANN-based preference scores and an extended topological grammar.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.ORCID iD: 0000-0002-7115-9751
2008 (English)In: Bioinformatics, ISSN 1460-2059, Vol. 24, no 15, 1662-8 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2008. Vol. 24, no 15, 1662-8 p.
Keyword [en]
Algorithms, Amino Acid Sequence, Computer Simulation, Membrane Proteins/*chemistry/*ultrastructure, Models; Chemical, Models; Molecular, Molecular Sequence Data, Neural Networks (Computer), Pattern Recognition; Automated/methods, Protein Conformation, Reproducibility of Results, Semantics, Sensitivity and Specificity, Sequence Analysis; Protein/*methods
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URN: urn:nbn:se:su:diva-14851ISI: 000257956600002PubMedID: 18474507OAI: oai:DiVA.org:su-14851DiVA: diva2:181371
Available from: 2008-11-20 Created: 2008-11-20 Last updated: 2014-11-10Bibliographically approved

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