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.
Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, RI 20906, USA. jiyeh@pitt.edu
Joanne I
JI
Yeh
Lisong
L
Mao
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