Methods for building quantitative structure-activity relationship (QSAR) descriptors and predictive models for computer-aided design of antimicrobial peptides.

Methods in molecular biology (Clifton, N.J.)

Volumn 618, Issue , 2010, Pages 77-86

  Taboureau, Olivier ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIINFECTIVE AGENT; ANTIMICROBIAL CATIONIC PEPTIDE;

ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; CHEMISTRY; COMPUTER AIDED DESIGN; DRUG DESIGN; QUANTITATIVE STRUCTURE ACTIVITY RELATION;

ANTI-INFECTIVE AGENTS; ANTIMICROBIAL CATIONIC PEPTIDES; ARTIFICIAL INTELLIGENCE; COMPUTER-AIDED DESIGN; DRUG DESIGN; MODELS, BIOLOGICAL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 77950472075     PISSN: None     EISSN: 19406029     Source Type: Journal    
DOI: 10.1007/978-1-60761-594-1_6     Document Type: Article

References (0)