Subchronic oral and inhalation toxicities: A challenging attempt for modeling and prediction

Molecular Informatics

Volumn 32, Issue 9-10, 2013, Pages 793-801

  Dobchev, Dimaitar A ^a,b   Tulp, Indrek ^c   Karelson, Gunnar ^a,b   Tamm, Tarmo ^a,d   Tämma, Kaido ^a,c   Karelson, Mati ^b,c  

^a MolCode   (Estonia)

^b TALLINN UNIVERSITY OF TECHNOLOGY   (Estonia)

^c UNIVERSITY OF TARTU   (Estonia)

^d UNIVERSITY OF TARTU   (Estonia)

Author keywords

Artificial neural network; NOAEL; QSAR; Subchronic inhalation toxicity; Subchronic oral toxicity

Indexed keywords

COMPUTATIONAL CHEMISTRY; FORECASTING; NEURAL NETWORKS;

ADVERSE EFFECT; INHALATION TOXICITY; MODELLING AND PREDICTIONS; NO OBSERVABLE ADVERSE EFFECT LEVEL; PROPERTY; QSAR; SUBCHRONIC; SUBCHRONIC INHALATION TOXICITY; SUBCHRONIC ORAL TOXICITY;

TOXICITY;

ANIMAL EXPERIMENT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; CHRONIC TOXICITY; FEMALE; MALE; MOLECULAR MECHANICS; NONHUMAN; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; RAT; SUBCHRONIC INHALATION TOXICITY; SUBCHRONIC ORAL TOXICITY;

EID: 84898775471     PISSN: 18681743     EISSN: 18681751     Source Type: Journal    
DOI: 10.1002/minf.201300033     Document Type: Article

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