Computational approaches to chemical hazard assessment

Altex

Volumn 34, Issue 4, 2017, Pages 459-478

  Luechtefeld, Thomas ^a   Hartung, Thomas ^a,b  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b UNIVERSITY OF KONSTANZ   (Germany)

Author keywords

Cheminformatics; Machine Learning; Molecular descriptor; QSAR; Toxicology

Indexed keywords

2,4 THIAZOLIDINEDIONE DERIVATIVE; DOCKING PROTEIN; INSULIN SENSITIZING AGENT;

ALGORITHM; AMBIGUITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOASSAY; CHEMICAL ACCIDENT; CHEMICAL STRUCTURE; COMPARATIVE MOLECULAR FIELD ANALYSIS; CONFORMATION; DRUG MECHANISM; ECOTOXICITY; FINGER DERMATOGLYPHICS; HAZARD ASSESSMENT; INSECT RESISTANCE; MACHINE LEARNING; MEASUREMENT ACCURACY; MICROARRAY ANALYSIS; MOLECULAR DOCKING; PHARMACOPHORE; PROTEIN EXPRESSION; PROTEIN LOCALIZATION; QUANTUM MECHANICS; REPRODUCIBILITY; RISK ASSESSMENT; SEMANTICS; SKIN SENSITIZATION; STEREOCHEMISTRY; VALIDATION PROCESS; X RAY CRYSTALLOGRAPHY; CHEMICAL MODEL; COMPUTER SIMULATION; HUMAN; PROPORTIONAL HAZARDS MODEL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; TOXICOLOGY;

COMPUTER SIMULATION; HUMANS; MACHINE LEARNING; MODELS, CHEMICAL; PROPORTIONAL HAZARDS MODELS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; RISK ASSESSMENT; TOXICOLOGY;

EID: 85035752865     PISSN: 1868596X     EISSN: 18688551     Source Type: Journal    
DOI: 10.14573/altex.1710141     Document Type: Article

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