Acute toxicity-supported chronic toxicity prediction: A k-nearest neighbor coupled read-across strategy

International Journal of Molecular Sciences

Volumn 16, Issue 5, 2015, Pages 11659-11677

  Chavan, Swapnil ^a   Friedman, Ran ^a   Nicholls, Ian A ^a,b  

^a LINNAEUS UNIVERSITY   (Sweden)

^b UPPSALA UNIVERSITY   (Sweden)

Author keywords

Category formation; Classification model; Estate fingerprint; K nearest neighbor; LD50; LOEL; Read across

Indexed keywords

ACUTE TOXICITY; ALGORITHM; ARTICLE; CHEMICAL DATABASE; CHRONIC TOXICITY; CLASSIFICATION; COMPUTER MODEL; COMPUTER PREDICTION; COMPUTER PROGRAM; DRUG IDENTIFICATION; K NEAREST NEIGHBOR; LD50; MATHEMATICAL PARAMETERS; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL PARAMETERS; TOXICITY TESTING; VALIDATION STUDY; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPUTER SIMULATION; DOSE RESPONSE; DRUG DEVELOPMENT; HUMAN; SOFTWARE;

CLUSTER ANALYSIS; COMPUTER SIMULATION; DOSE-RESPONSE RELATIONSHIP, DRUG; DRUG DISCOVERY; HUMANS; LETHAL DOSE 50; MODELS, BIOLOGICAL; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SOFTWARE;

EID: 84930643618     PISSN: 16616596     EISSN: 14220067     Source Type: Journal    
DOI: 10.3390/ijms160511659     Document Type: Article

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