Knowledge-based computational methods for identifying or designing novel, non-homologous antimicrobial peptides

European Biophysics Journal

Volumn 40, Issue 4, 2011, Pages 371-385

  Juretić, Davor ^a   Vukičević, Damir ^a   Petrov, Dražen ^b   Novković, Mario ^c,d   Bojović, Viktor ^e   Lučić, Bono ^e   Ilić, Nada ^a   Tossi, Alessandro ^f  

^a UNIVERSITY OF SPLIT   (Croatia)

^b Campus Vienna Biocenter 5   (Austria)

^c Mediterranean Institute for Life Sciences   (Croatia)

^d UNIVERSITY OF SPLIT   (Croatia)

^e RUDER BO KOVI INSTITUTE   (Croatia)

^f UNIVERSITY OF TRIESTE   (Italy)

Author keywords

Antimicrobial peptides; Computational; Design; Signal peptides; Therapeutic index

Indexed keywords

ANTIINFECTIVE AGENT; ANTIMICROBIAL CATIONIC PEPTIDE;

BIOLOGY; CHEMISTRY; DRUG DESIGN; KNOWLEDGE BASE; METHODOLOGY; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REVIEW;

ANTI-INFECTIVE AGENTS; ANTIMICROBIAL CATIONIC PEPTIDES; COMPUTATIONAL BIOLOGY; DRUG DESIGN; KNOWLEDGE BASES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

TELEOSTEI;

EID: 79956000536     PISSN: 01757571     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00249-011-0674-7     Document Type: Review

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