Computational prediction of type III secreted proteins from gram-negative bacteria

BMC Bioinformatics

Volumn 11, Issue SUPPLL.1, 2010, Pages

  Yang, Yang ^a   Zhao, Jiayuan ^b   Morgan, Robyn L ^c   Ma, Wenbo ^c   Jiang, Tao ^c,d,e  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b FUDAN UNIVERSITY   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d University of California Riverside   (United States)

^e TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID COMPOSITIONS; COMPUTATIONAL APPROACH; COMPUTATIONAL PREDICTIONS; GRAM-NEGATIVE BACTERIA; MACHINE LEARNING METHODS; N-TERMINAL AMINO ACID SEQUENCE; PROTEIN DELIVERY SYSTEMS; TYPE III SECRETION SYSTEM;

AMINO ACIDS; ANIMALS; BIOINFORMATICS; FORECASTING; LEARNING SYSTEMS; PATHOGENS; PHYSIOLOGY; PROTEINS; BACTERIA;

BACTERIA; FORECASTING;

ANIMALIA; BACTERIA (MICROORGANISMS); EUKARYOTA; NEGIBACTERIA; PSEUDOMONAS SYRINGAE; RHIZOBIACEAE;

BACTERIAL PROTEIN;

ARTICLE; BACTERIAL GENOME; BIOLOGY; CHEMISTRY; GRAM NEGATIVE BACTERIUM; METABOLISM; METHODOLOGY; PSEUDOMONAS SYRINGAE; RHIZOBIUM;

BACTERIAL PROTEINS; COMPUTATIONAL BIOLOGY; GENOME, BACTERIAL; GRAM-NEGATIVE BACTERIA; PSEUDOMONAS SYRINGAE; RHIZOBIUM;

EID: 75149124497     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-S1-S47     Document Type: Article

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