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dc.contributor.authorYang, ZR
dc.date.accessioned2013-06-06T10:29:08Z
dc.date.issued2009
dc.description.abstractTyrosine sulfation is one of the most important posttranslational modifications. Due to its relevance to various disease developments, tyrosine sulfation has become the target for drug design. In order to facilitate efficient drug design, accurate prediction of sulfotyrosine sites is desirable. A predictor published seven years ago has been very successful with claimed prediction accuracy of 98%. However, it has a particularly low sensitivity when predicting sulfotyrosine sites in some newly sequenced proteins.en_GB
dc.identifier.citationBMC Bioinformatics, 2009, Vol. 10, pp. 361en_GB
dc.identifier.doi10.1186/1471-2105-10-361
dc.identifier.other1471-2105-10-361
dc.identifier.urihttp://hdl.handle.net/10871/9889
dc.language.isoenen_GB
dc.publisherBioMed Centralen_GB
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed/19874585en_GB
dc.relation.urlhttp://www.biomedcentral.com/1471-2105/10/361en_GB
dc.subjectAlgorithmsen_GB
dc.subjectArtificial Intelligenceen_GB
dc.subjectBinding Sitesen_GB
dc.subjectComputational Biologyen_GB
dc.subjectDatabases, Proteinen_GB
dc.subjectSequence Analysis, Proteinen_GB
dc.subjectTyrosineen_GB
dc.titlePredicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy.en_GB
dc.typeArticleen_GB
dc.date.available2013-06-06T10:29:08Z
exeter.place-of-publicationEngland
dc.descriptionaddresses: School of Biosciences, University of Exeter, Exeter EX4 5DE, UK. z.r.yang@ex.ac.uken_GB
dc.descriptionnotes: PMCID: PMC2777180en_GB
dc.descriptiontypes: Journal Article; Research Support, Non-U.S. Gov'ten_GB
dc.description© 2009 Yang; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.identifier.journalBMC Bioinformaticsen_GB


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