Novel rule-based method for multi-parametric multi-objective decision support in lead optimization using KEM

Current Computer-Aided Drug Design

Volumn 4, Issue 1, 2008, Pages 35-45

  Jullian, Nathalie ^a   Afshar, Mohammad ^a  

^a INSTITUT PASTEUR   (France)

Author keywords

Drug design; Galois lattices; Machine learning; Multi objective optimization; Structure activity relationships (SAR)

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONSTRAINT SATISFACTION PROBLEMS; CONSTRAINT THEORY; DATA MINING; DECISION SUPPORT SYSTEMS; DECISION THEORY; LATTICE THEORY; LEARNING SYSTEMS; STRUCTURAL OPTIMIZATION;

DECISION SUPPORTS; DRUG DESIGN; GALOIS LATTICES; LEAD OPTIMIZATION; MACHINE-LEARNING; MULTI-OBJECTIVES OPTIMIZATION; MULTIOBJECTIVE DECISION; RULE-BASED METHOD; STRUCTURE-ACTIVITY RELATIONSHIP; STRUCTURE-ACTIVITY RELATIONSHIPS;

MULTIOBJECTIVE OPTIMIZATION;

DOPAMINE 2 RECEPTOR; NEW DRUG; PIPERIDINE DERIVATIVE; SEROTONIN 2 RECEPTOR;

COMPUTER PROGRAM; DATA EXTRACTION; DATA MINING; DECISION SUPPORT SYSTEM; DRUG DESIGN; DRUG RECEPTOR BINDING; DRUG SELECTIVITY; DRUG STRUCTURE; IN VITRO STUDY; IN VIVO STUDY; MACHINE LEARNING; METHODOLOGY; PREDICTION; REVIEW; THEORY;

EID: 41549137833     PISSN: 15734099     EISSN: None     Source Type: Journal    
DOI: 10.2174/157340908783769238     Document Type: Review

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