Analysis and prediction of the critical regions of antimicrobial peptides based on conditional random fields

PLoS ONE

Volumn 10, Issue 3, 2015, Pages

  Chang, Kuan Y ^a   Lin, Tung Pei ^a   Shih, Ling Yi ^a   Wang, Chien Kuo ^b  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

^b ASIA UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ASPARTIC ACID; GLUTAMIC ACID; GLYCINE; LYSINE; METHIONINE; POLYPEPTIDE ANTIBIOTIC AGENT; AMINO ACID; ANTIINFECTIVE AGENT; ANTIMICROBIAL CATIONIC PEPTIDE; PROTEIN AGGREGATE;

ALPHA HELIX; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; AMPHIPATHICITY; ARTICLE; BACTERICIDAL ACTIVITY; CHEMICAL PHENOMENA; COMPUTER MODEL; COMPUTER PREDICTION; CONDITIONAL RANDOM FIELD; CORRELATION COEFFICIENT; MACHINE LEARNING; MEASUREMENT ACCURACY; PROTEIN AGGREGATION; PROTEIN DOMAIN; PROTEIN MOTIF; PROTEIN SECONDARY STRUCTURE; SEQUENCE ALIGNMENT; ALGORITHM; CHEMICAL MODEL; CHEMISTRY; FORECASTING; PROTEIN TERTIARY STRUCTURE; STRUCTURE ACTIVITY RELATION;

FUNGI;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; ANTI-INFECTIVE AGENTS; ANTIMICROBIAL CATIONIC PEPTIDES; FORECASTING; MODELS, CHEMICAL; PROTEIN AGGREGATES; PROTEIN STRUCTURE, SECONDARY; PROTEIN STRUCTURE, TERTIARY; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 84925854798     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0119490     Document Type: Article

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