Prediction of nuclear proteins using SVM and HMM models.

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

raghava09.1.pdf - Published Version
Available under License Creative Commons Attribution.

Download (467Kb) | Preview
Official URL:


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.

Item Type: Article
Additional Information: Open Access
Subjects: Q Science > QH Natural history > QH301 Biology
QH301 Biology
Depositing User: Dr. K.P.S.Sengar
Date Deposited: 08 Dec 2011 19:36
Last Modified: 08 Dec 2011 19:36

Actions (login required)

View Item View Item