Literature DB >> 16472026

Prediction of membrane proteins in Mycobacterium tuberculosis using a support vector machine algorithm.

Joanne I Yeh1, Lisong Mao.   

Abstract

We report our finding of linear clustering of signal sequences at the N-terminus of M.tb membrane proteins, directing membrane localization. Although it is widely accepted that membrane proteins have signal peptides at the N-terminus, statistical ensemble analysis of Support Vector Machine prediction results indicate that M.tb membrane proteins have embedded N-terminal sequence patterns beyond the signal peptides previously identified in E. coli. The additional patterns at the N-terminus of M.tb membrane proteins may have correlations to their unique enzymatic functions and unusual characteristics such as membrane interaction in pathogenes.

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Year:  2006        PMID: 16472026     DOI: 10.1089/cmb.2006.13.126

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  1 in total

1.  Prediction of subcellular location of mycobacterial protein using feature selection techniques.

Authors:  Hao Lin; Hui Ding; Feng-Biao Guo; Jian Huang
Journal:  Mol Divers       Date:  2009-11-12       Impact factor: 2.943

  1 in total

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