TY  - JOUR
ID  - open625
UR  - http://crdd.osdd.net/open/625/
A1  - Rashid, Mamoon
A1  - Saha, Sudipto
A1  - Raghava, G.P.S.
Y1  - 2007///
N2  - A highly accurate method has been developed for predicting subcellular location of mycobacterial proteins. This method also predicts very important class of proteins that is membrane-attached proteins. This method will be useful in annotating newly sequenced or hypothetical mycobacterial proteins. Based on above study, a freely accessible web server TBpred http://www.imtech.res.in/raghava/tbpred/ has been developed.
PB  - BIomedcentral
JF  - BMC bioinformatics  Vol.8; 2007
VL  - 8
SN  - 1471-2105
TI  - Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs.
AV  - public
ER  -