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Volumn 20, Issue 5, 2006, Pages 333-341
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A novel workflow for the inverse QSPR problem using multiobjective optimization
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Author keywords
Denovo design; Genetic algorithms; Inverse QSPR problem; Partial least squares regression; QSAR
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Indexed keywords
COMPUTATIONAL CHEMISTRY;
DESIGN;
INVERSE PROBLEMS;
LEAST SQUARES APPROXIMATIONS;
MULTIOBJECTIVE OPTIMIZATION;
STRUCTURAL OPTIMIZATION;
CASE-STUDIES;
DE NOVO DESIGN;
DENOVO DESIGN;
INVERSE QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP PROBLEM;
MULTI-OBJECTIVES OPTIMIZATION;
PARTIAL LEAST SQUARE REGRESSION;
QSAR;
QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS;
QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP MODELS;
WORK-FLOWS;
GENETIC ALGORITHMS;
ALGORITHM;
ANALYTICAL ERROR;
AQUEOUS SOLUTION;
ARTICLE;
CHEMICAL STRUCTURE;
COMPUTER MODEL;
MATHEMATICAL ANALYSIS;
MATHEMATICAL COMPUTING;
POLARIZATION;
PREDICTION;
PRIORITY JOURNAL;
QUANTITATIVE STRUCTURE PROPERTY RELATION;
REGRESSION ANALYSIS;
SOLUBILITY;
STRUCTURE ANALYSIS;
VALIDITY;
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EID: 33749563061
PISSN: 0920654X
EISSN: 15734951
Source Type: Journal
DOI: 10.1007/s10822-006-9063-1 Document Type: Article |
Times cited : (45)
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References (24)
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