Computational identification of discriminating features of pathogenic and symbiotic type III secreted effector proteins

IPSJ Transactions on Bioinformatics

Volumn 3, Issue , 2010, Pages 95-107

  Yahara, Koji ^a,c   Jiang, Ying ^a   Yanagawa, Takashi ^b  

^a KURUME UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^b KURUME UNIVERSITY   (Japan)

^c Fujitsu Kyushu Systems Ltd   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACID REGION; AMINO ACID COMPOSITIONS; BACTERIAL PROTEIN; BAYESIAN INFORMATION CRITERION; CLASSIFICATION PERFORMANCE; COMPUTATIONAL IDENTIFICATION; GRAPHICAL MODELING; HOST CELLS; KERNEL LOGISTIC REGRESSION; MACHINE LEARNING METHODS; PATHOGENIC BACTERIUM; PHYSICOCHEMICAL FEATURES; PHYSIOLOGICAL RESPONSE; SENSITIVITY AND SPECIFICITY; SLIDING-WINDOW ANALYSIS; SYMBIOTIC BACTERIA; TYPE III SECRETION SYSTEM; VIRULENCE FACTORS;

AMINO ACIDS; BACTERIA; BACTERIOLOGY; LEARNING SYSTEMS; PHYSIOLOGICAL MODELS;

PROTEINS;

EID: 79954452661     PISSN: None     EISSN: 18826679     Source Type: Journal    
DOI: 10.2197/ipsjtbio.3.95     Document Type: Article

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