Lipoprotein computational prediction in spirochaetal genomes

Microbiology

Volumn 152, Issue 1, 2006, Pages 113-121

  Setubal, Jaão C ^a   Reis, Marcelo ^b   Matsunaga, James ^c,d   Haake, David A ^c,d  

^a VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

^b UNIVERSITY OF CAMPINAS   (Brazil)

^c VA GREATER LOS ANGELES HEALTHCARE SYSTEM   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALANINE; AMINO ACID; ARGININE; GLYCINE; LIPOPROTEIN; LYSINE; SIGNAL PEPTIDE;

ACCURACY; AMINO ACID SUBSTITUTION; ARTICLE; BACTERIAL GENOME; BIOCHEMISTRY; BORRELIA BURGDORFERI; BORRELIA GARINII; CONTROLLED STUDY; ESCHERICHIA COLI; GENE CONSTRUCT; GENETIC ALGORITHM; GENETIC CODE; GENETIC CONSERVATION; HYBRID; LABORATORY DIAGNOSIS; LEPTOSPIRA INTERROGANS; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN ANALYSIS; PROTEIN FUNCTION; PROTEIN SECRETION; SENSITIVITY ANALYSIS; SPIROCHETE; STATISTICAL MODEL; TREPONEMA DENTICOLA; TREPONEMA PALLIDUM;

ALGORITHMS; GENES, BACTERIAL; LIPOPROTEINS; SEQUENCE ANALYSIS, PROTEIN; SPIROCHAETALES;

BACTERIA (MICROORGANISMS); BORRELIA BURGDORFERI; BORRELIA GARINII; ESCHERICHIA COLI; LEPTOSPIRA INTERROGANS; SPIROCHAETA; SPIROCHAETALES; SPIROCHAETES; TREPONEMA DENTICOLA; TREPONEMA PALLIDUM;

EID: 30744477217     PISSN: 13500872     EISSN: None     Source Type: Journal    
DOI: 10.1099/mic.0.28317-0     Document Type: Article

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