Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs.
IR@IMTECH: CSIR-Institute of Microbial Technology, Chandigarh
View Archive Info| Field | Value | |
| Title |
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs.
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| Creator |
Rashid, Mamoon
Saha, Sudipto Raghava, G.P.S. |
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| Subject |
Q Science (General)
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| Description |
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.
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| Publisher |
BIomedcentral
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| Date |
2007
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://crdd.osdd.net/open/625/1/raghava3.pdf
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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| Relation |
http://crdd.osdd.net/open/625/
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