A conceptual framework for predicting the toxicity of reactive chemicals: modeling soft electrophilicity.

Schultz, T W; Carlson, R E; Cronin, M T D; Hermens, J L M; Johnson, R; O'Brien, P J; Roberts, D W; Siraki, A; Wallace, K B; Veith, G D

Schultz, T W; Carlson, R E; Cronin, M T D; Hermens, J L M; Johnson, R; O'Brien, P J; Roberts, D W; Siraki, A; Wallace, K B; Veith, G D.

Affiliation

Schultz TW; Department of Comparative Medicine, College of Veterinary Medicine, The University of Tennessee, Knoxville, TN 37996-4543, USA.

SAR QSAR Environ Res ; 17(4): 413-28, 2006 Aug.

Article in En | MEDLINE | ID: mdl-16920662

Subject(s)

Computational Biology/methods; Quantitative Structure-Activity Relationship; Toxicology/methods; Xenobiotics/chemistry; Xenobiotics/toxicity; Amino Acids/chemistry; Animals; Binding Sites; Computer Simulation; Hepatocytes/drug effects; Models, Chemical; Nucleic Acids/chemistry; Respiratory System/drug effects; Skin/drug effects; Sulfhydryl Compounds/chemistry; Tetrahymena pyriformis/drug effects

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Collection: 01-internacional Database: MEDLINE Main subject: Toxicology / Xenobiotics / Computational Biology / Quantitative Structure-Activity Relationship Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: SAR QSAR Environ Res Journal subject: SAUDE AMBIENTAL Year: 2006 Document type: Article Affiliation country: United States Country of publication: United kingdom

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