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Prediction of nuclear proteins using SVM and HMM models.

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title Prediction of nuclear proteins using SVM and HMM models.
 
Creator Kumar, Manish
Raghava, G.P.S.
 
Subject QH301 Biology
 
Description This study describes a highly accurate method for predicting nuclear proteins. SVM module has been developed for the first time using SAAC for predicting nuclear proteins, where amino acid composition of N-terminus and the remaining protein were computed separately. In addition, our study is a first documentation where exclusively nuclear and non-nuclear domains have been identified and used for predicting nuclear proteins. The performance of the method improved further by combining both approaches together.
 
Publisher BIomedcentral
 
Date 2009
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://crdd.osdd.net/open/570/2/raghava09.1.pdf
Kumar, Manish and Raghava, G.P.S. (2009) Prediction of nuclear proteins using SVM and HMM models. BMC bioinformatics, 10. p. 22. ISSN 1471-2105
 
Relation http://www.biomedcentral.com/content/pdf/1471-2105-10-22.pdf
http://crdd.osdd.net/open/570/