Accurate prediction of secreted substrates and identification of a conserved putative secretion signal for type iii secretion systems

PLoS Pathogens

Volumn 5, Issue 4, 2009, Pages

  Samudrala, Ram ^a   Heffron, Fred ^b   McDermott, Jason E ^c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^c PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; PROTEIN; BACTERIAL PROTEIN; SIGNAL PEPTIDE;

ACCURACY; AMINO ACID SEQUENCE; AMINO TERMINAL SEQUENCE; ARTICLE; CHLAMYDIA TRACHOMATIS; ENZYME SUBSTRATE; GRAM NEGATIVE BACTERIUM; MOLECULAR EVOLUTION; NONHUMAN; PREDICTION; PROTEIN SECRETION; PSEUDOMONAS SYRINGAE; SALMONELLA ENTERICA; SALMONELLA TYPHIMURIUM; SENSITIVITY AND SPECIFICITY; SEQUENCE HOMOLOGY; SIGNAL TRANSDUCTION; TYPE III SECRETION SYSTEM; ARTIFICIAL INTELLIGENCE; BIOLOGY; CHEMISTRY; GENETICS; METHODOLOGY; PROTEIN DATABASE; SECRETION;

ANIMALIA; CHLAMYDIA TRACHOMATIS; NEGIBACTERIA; PSEUDOMONAS SYRINGAE; SALMONELLA ENTERICA SUBSP. ENTERICA SEROVAR TYPHIMURIUM;

AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; BACTERIAL PROTEINS; CHLAMYDIA TRACHOMATIS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; EVOLUTION, MOLECULAR; GRAM-NEGATIVE BACTERIA; PROTEIN SORTING SIGNALS; PSEUDOMONAS SYRINGAE; SALMONELLA ENTERICA;

EID: 66349123567     PISSN: 15537366     EISSN: 15537374     Source Type: Journal    
DOI: 10.1371/journal.ppat.1000375     Document Type: Article

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