Predicting antimicrobial peptides from eukaryotic genomes: In silico strategies to develop antibiotics

Peptides

Volumn 37, Issue 2, 2012, Pages 301-308

  Amaral, André C ^a,d   Silva, Osmar N ^b   Mundim, Nathália C C R ^c   De Carvalho, Maria J A ^a   Migliolo, Ludovico ^b   Leite, Jose R S A ^e   Prates, Maura V ^c   Bocca, Anamélia L ^a   Franco, Octávio L ^b   Felipe, Maria S S ^a,b  

^a UNIVERSITY OF BRASILIA   (Brazil)

^b UNIVERSIDADE CATÓLICA DE BRASÍLIA   (Brazil)

^c EMBRAPA RECURSOS GENÉTICOS E BIOTECNOLOGIA   (Brazil)

^d FEDERAL UNIVERSITY OF GOIÁS   (Brazil)

^e FEDERAL UNIVERSITY OF PIAUÍ   (Brazil)

Author keywords

Antimicrobial peptides; In silico analyses; Paracoccidioides brasiliensis

Indexed keywords

AMINO ACID; AMPHOTERICIN B; CHLORAMPHENICOL; POLYPEPTIDE ANTIBIOTIC AGENT; TRANSCRIPTOME;

AMINO ACID SEQUENCE; ANTIBACTERIAL ACTIVITY; ANTIFUNGAL ACTIVITY; ANTIMICROBIAL ACTIVITY; ARTICLE; BIOCOMPATIBILITY; CANDIDA ALBICANS; ERYTHROCYTE; ESCHERICHIA COLI; GROWTH INHIBITION; HYDROPHOBICITY; MAMMAL CELL; MINIMUM INHIBITORY CONCENTRATION; MOLECULAR MODEL; NONHUMAN; PARACOCCIDIOIDES BRASILIENSIS; PHYSICAL CHEMISTRY; PRIORITY JOURNAL; SEQUENCE ANALYSIS; STAPHYLOCOCCUS AUREUS;

ANTI-BACTERIAL AGENTS; ANTIFUNGAL AGENTS; ANTIMICROBIAL CATIONIC PEPTIDES; CANDIDA ALBICANS; COMPUTER SIMULATION; DATABASES, GENETIC; ESCHERICHIA COLI; GENOME; GENOMICS; HUMANS; MICROBIAL SENSITIVITY TESTS; PARACOCCIDIOIDES; SOFTWARE; STAPHYLOCOCCUS AUREUS; STRUCTURE-ACTIVITY RELATIONSHIP;

CANDIDA ALBICANS; ESCHERICHIA COLI; EUKARYOTA; MAMMALIA; PARACOCCIDIOIDES BRASILIENSIS; STAPHYLOCOCCUS AUREUS;

EID: 84865411391     PISSN: 01969781     EISSN: 18735169     Source Type: Journal    
DOI: 10.1016/j.peptides.2012.07.021     Document Type: Article

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