Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs.

Rashid, Mamoon and Saha, Sudipto and Raghava, G.P.S. (2007) Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs. BMC bioinformatics Vol.8; 2007, 8. p. 337. ISSN 1471-2105

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Abstract

A highly accurate method has been developed for predicting subcellular location of mycobacterial proteins. This method also predicts very important class of proteins that is membrane-attached proteins. This method will be useful in annotating newly sequenced or hypothetical mycobacterial proteins. Based on above study, a freely accessible web server TBpred http://www.imtech.res.in/raghava/tbpred/ has been developed.

Item Type: Article
Subjects: Q Science > Q Science (General)
Depositing User: Dr. K.P.S.Sengar
Date Deposited: 28 Nov 2011 07:21
Last Modified: 13 Dec 2011 17:13
URI: http://crdd.osdd.net/open/id/eprint/625

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