A comparison of computational methods for identifying virulence factors

PLoS ONE

Volumn 7, Issue 8, 2012, Pages

  Zheng, Lu Lu ^a,b   Li, Yi Xue ^a,b,d   Ding, Juan ⁱ   Guo, Xiao Kui ^g   Feng, Kai Yan ^b   Wang, Ya Jun ^b,f   Hu, Le Le ^c   Cai, Yu Dong ^c   Hao, Pei ^b,e   Chou, Kuo Chen ^h  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SHANGHAI CENTER FOR BIOINFORMATION TECHNOLOGY   (China)

^c SHANGHAI UNIVERSITY   (China)

^d Chinese Academy of Sciences   (China)

^e INSTITUTE PASTEUR OF SHANGHAI   (China)

^f Shanghai Jiao Tong University   (China)

^g SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^h GORDON LIFE SCIENCE INSTITUTE   (United States)

ⁱ SCHEPENS EYE RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; VIRULENCE FACTOR;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; CAMPYLOBACTER JEJUNI; DATA BASE; LEGIONELLA PNEUMOPHILA; MYCOBACTERIUM TUBERCULOSIS; NONHUMAN; PATHOGENICITY; PROTEIN PROTEIN INTERACTION; PSEUDOMONAS AERUGINOSA; PUBLIC HEALTH; SPECIES IDENTIFICATION;

ALGORITHMS; BACTERIA; BACTERIAL PROTEINS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; PROTEIN INTERACTION MAPS; ROC CURVE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN; VIRULENCE FACTORS;

BACTERIA (MICROORGANISMS); CAMPYLOBACTER JEJUNI; LEGIONELLA PNEUMOPHILA; MYCOBACTERIUM TUBERCULOSIS;

EID: 84864544419     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0042517     Document Type: Article

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