17680694

Source:http://linkedlifedata.com/resource/pubmed/id/17680694

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0449445, umls-concept:C0456603, umls-concept:C0681842, umls-concept:C1519063, umls-concept:C1704991
pubmed:issue	2
pubmed:dateCreated	2008-1-2
pubmed:abstractText	Protein phosphorylation plays important roles in a variety of cellular processes. Detecting possible phosphorylation sites and their corresponding protein kinases is crucial for studying the function of many proteins. This article presents a new prediction system, called PhoScan, to predict phosphorylation sites in a kinase-family-specific way. Common phosphorylation features and kinase-specific features are extracted from substrate sequences of different protein kinases based on the analysis of published experiments, and a scoring system is developed for evaluating the possibility that a peptide can be phosphorylated by the protein kinase at the specific site in its sequence context. PhoScan can achieve a specificity of above 90% with sensitivity around 90% at kinase-family level on the data experimented. The system is applied on a set of human proteins collected from Swiss-Prot and sets of putative phosphorylation sites are predicted for protein kinase A, cyclin-dependent kinase, and casein kinase 2 families. PhoScan is available at http://bioinfo.au.tsinghua.edu.cn/phoscan/.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/8700181
pubmed:citationSubset	IM
pubmed:chemical	http://linkedlifedata.com/resource/pubmed/chemical/Protein Kinases
pubmed:status	MEDLINE
pubmed:month	Feb
pubmed:issn	1097-0134
pubmed:author	pubmed-author:DEH NHN, pubmed-author:LiTingtingT, pubmed-author:ZhangXuegongX
pubmed:copyrightInfo	(c) 2007 Wiley-Liss, Inc.
pubmed:issnType	Electronic
pubmed:day	1
pubmed:volume	70
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	404-14
pubmed:dateRevised	2009-11-19
pubmed:meshHeading	pubmed-meshheading:17680694-Odds Ratio, pubmed-meshheading:17680694-Phosphorylation, pubmed-meshheading:17680694-Protein Kinases, pubmed-meshheading:17680694-Substrate Specificity
pubmed:year	2008
pubmed:articleTitle	Prediction of kinase-specific phosphorylation sites with sequence features by a log-odds ratio approach.
pubmed:affiliation	Bioinformatics Division, TNLIST and Department of Automation, Tsinghua University, Beijing 100084, China.
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't