Prediction of antimicrobial peptides based on sequence alignment and feature selection methods

PLoS ONE

Volumn 6, Issue 4, 2011, Pages

  Wang, Ping ^a   Hu, Lele ^b   Liu, Guiyou ^a   Jiang, Nan ^a   Chen, Xiaoyun ^a   Xu, Jianyong ^a   Zheng, Wen ^a   Li, Li ^a   Tan, Ming ^a   Chen, Zugen ^a,c   Song, Hui ^a   Cai, Yu Dong ^b,d   Chou, Kuo Chen ^d  

^a Chinese Academy of Sciences   (China)

^b SHANGHAI UNIVERSITY   (China)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d GORDON LIFE SCIENCE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID DERIVATIVE; POLYPEPTIDE ANTIBIOTIC AGENT; ANTIINFECTIVE AGENT; PEPTIDE;

AMINO ACID SEQUENCE; ANALYTIC METHOD; ANTIMICROBIAL ACTIVITY; ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; DATA BASE; DRUG SCREENING; INTERMETHOD COMPARISON; JACKKNIFE TEST; PREDICTION; SEQUENCE ALIGNMENT; ALGORITHM; CHEMISTRY; METHODOLOGY;

ALGORITHMS; ANTI-INFECTIVE AGENTS; PEPTIDES; SEQUENCE ALIGNMENT;

EID: 79954616130     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0018476     Document Type: Article

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