Prediction of antimicrobial activity of synthetic peptides by a decision tree model

Applied and Environmental Microbiology

Volumn 79, Issue 10, 2013, Pages 3156-3159

  Lira, Felipe ^a   Perez, Pedro S ^b   Baranauskas, José A ^b   Nozawa, Sérgio R ^a  

^a UNIVERSIDADE NILTON LINS   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ANTI-MICROBIAL ACTIVITY; ANTIMICROBIAL PEPTIDE; ANTIMICROBIAL RESISTANCES; DECISION TREE MODELS; GRAM-NEGATIVE BACTERIA; NATURAL-ANTIMICROBIALS; SITE-DIRECTED MUTATION; STAPHYLOCOCCUS AUREUS;

BACTERIA; BIOACTIVITY; COMPUTATIONAL METHODS; DATA MINING; DECISION TREES; ESCHERICHIA COLI; POLYPEPTIDES; SCAFFOLDS;

PEPTIDES;

ANTIMICROBIAL CATIONIC PEPTIDE;

ANTIBIOTIC RESISTANCE; ANTIMICROBIAL ACTIVITY; BACTERIUM; DECISION ANALYSIS; INHIBITOR; MUTATION; NUMERICAL MODEL; PEPTIDE; PREDICTION;

ALGORITHM; AMINO ACID SEQUENCE; ANIMAL; ARTICLE; BIOLOGY; CHARACIDAE; CHEMICAL PHENOMENA; CHEMISTRY; COMPUTER SIMULATION; DECISION TREE; DRUG EFFECT; ESCHERICHIA COLI; GENE LIBRARY; GENETICS; METHODOLOGY; MICROBIAL SENSITIVITY TEST; PROTEIN DATABASE; SITE DIRECTED MUTAGENESIS; STAPHYLOCOCCUS AUREUS; SYNTHESIS;

ALGORITHMS; AMINO ACID SEQUENCE; ANIMALS; ANTIMICROBIAL CATIONIC PEPTIDES; CHARACIDAE; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATABASES, PROTEIN; DECISION TREES; ESCHERICHIA COLI; GENE LIBRARY; HYDROPHOBIC AND HYDROPHILIC INTERACTIONS; MICROBIAL SENSITIVITY TESTS; MUTAGENESIS, SITE-DIRECTED; STAPHYLOCOCCUS AUREUS;

EID: 84877142829     PISSN: 00992240     EISSN: 10985336     Source Type: Journal    
DOI: 10.1128/AEM.02804-12     Document Type: Article

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