Effective Identification of Bacterial Type III Secretion Signals Using Joint Element Features

PLoS ONE

Volumn 8, Issue 4, 2013, Pages

  Wang, Yejun ^a,b,c   Sun, Ming'an ^a   Bao, Hongxia ^b   Zhang, Qing ^a   Guo, Dianjing ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b HARBIN MEDICAL UNIVERSITY   (China)

^c UNIVERSITY OF SASKATCHEWAN   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID ANALYSIS; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; AMINO TERMINAL SEQUENCE; ARTICLE; COMPUTER MODEL; COMPUTER PREDICTION; CONTROLLED STUDY; GENETIC ASSOCIATION; GRAM POSITIVE BACTERIUM; HELICOBACTER; MATHEMATICAL MODEL; MYCOBACTERIUM; NONHUMAN; NUCLEOTIDE SEQUENCE; PROTEIN ANALYSIS; PROTEIN SECONDARY STRUCTURE; RHIZOBIUM; SALMONELLA; SENSITIVITY AND SPECIFICITY; SIGNAL TRANSDUCTION; SOLVENT EFFECT; SPECIES COMPARISON; STAPHYLOCOCCUS; STRUCTURE ANALYSIS; TYPE III SECRETION SYSTEM; VALIDATION STUDY; YEAST;

BACTERIA; BACTERIAL PROTEINS; BACTERIAL SECRETION SYSTEMS; CELL LINE; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENOME, BACTERIAL; HUMANS; MODELS, BIOLOGICAL; MODELS, MOLECULAR; PROTEIN CONFORMATION; PROTEIN TRANSPORT; SALMONELLA; SEQUENCE DELETION;

BACTERIA (MICROORGANISMS); POSIBACTERIA; SALMONELLA;

EID: 84875929715     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0059754     Document Type: Article

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