QSAR models for the dermal penetration of polycyclic aromatic hydrocarbons based on gene expression programming

QSAR and Combinatorial Science

Volumn 27, Issue 7, 2008, Pages 913-921

  Wang, Tao ^a   Si, Hongzong ^a   Chen, Pingping ^b   Zhang, Kejun ^c   Yao, Xiaojun ^d  

^a QINGDAO UNIVERSITY   (China)

^b SOUTHEAST UNIVERSITY   (China)

^c ZHEJIANG UNIVERSITY   (China)

^d LANZHOU UNIVERSITY   (China)

Author keywords

Derma; Gene expression programming; Heuristic method; Polycyclic aromatic hydrocarbons; Quantitative structure activity relationship

Indexed keywords

AROMATIZATION; COMPUTATIONAL CHEMISTRY; GENE EXPRESSION; LEARNING SYSTEMS; MOLECULAR GRAPHICS; POLYCYCLIC AROMATIC HYDROCARBONS;

DERMA; DERMAL PENETRATION; DESCRIPTORS; GENE-EXPRESSION PROGRAMMING; LINEAR MODELING; MACHINE LEARNING TECHNIQUES; MULTI VARIABLES; QSAR MODEL; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP MODELING;

HEURISTIC METHODS;

POLYCYCLIC AROMATIC HYDROCARBON;

ARTICLE; CALCULATION; CHEMICAL STRUCTURE; CORRELATION COEFFICIENT; GENE EXPRESSION; GENETIC ALGORITHM; HUMAN; MACHINE LEARNING; MOLECULAR MODEL; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SKIN PENETRATION;

EID: 54949088244     PISSN: 1611020X     EISSN: 16110218     Source Type: Journal    
DOI: 10.1002/qsar.200710153     Document Type: Article

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