Predicting gram-positive bacterial protein subcellular localization based on localization motifs.
The subcellular localization of proteins is closely related to their functions. In this work, we propose a novel approach based on localization motifs to improve the accuracy of predicting subcellular localization of Gram-positive bacterial proteins. Our approach performed well on a five-fold cross validation with an overall success rate of 89.5%. Besides, the overall success rate of an independent testing dataset was 97.7%. Moreover, our approach was tested using a new experimentally-determined set of Gram-positive bacteria proteins and achieved an overall success rate of 96.3%.
Department of Chemistry, Tongji University, Siping Road 1239, Shanghai 200092, China.
Yinxia
Y
Hu
Tonghua
T
Li
Jiangming
J
Sun
Shengnan
S
Tang
Wenwei
W
Xiong
Dapeng
D
Li
Guanyan
G
Chen
Peisheng
P
Cong
D020816:Amino Acid Motifs; D000595:Amino Acid Sequence; D001426:Bacterial Proteins / Q000737:chemistry* / Q000378:metabolism*; D030562:Databases, Protein; D006094:Gram-Positive Bacteria / Q000378:metabolism*; D008954:Models, Biological; D008969:Molecular Sequence Data; D021381:Protein Transport; D015203:Reproducibility of Results; D013347:Subcellular Fractions / Q000378:metabolism
D001426:Bacterial Proteins