Prediction of membrane proteins in Mycobacterium tuberculosis using a support vector machine algorithm.
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.
Yeh
Joanne I
JI
Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 20906, USA. jiyeh@pitt.edu
Mao
Lisong
L
D000465:Algorithms; D019295:Computational Biology; D008565:Membrane Proteins / Q000737:chemistry / Q000235:genetics*; D009169:Mycobacterium tuberculosis / Q000235:genetics*; D011237:Predictive Value of Tests; D021382:Protein Sorting Signals / Q000235:genetics
D008565:Membrane Proteins; D021382:Protein Sorting Signals