The Monte Carlo technique as a tool to predict LOAEL

European Journal of Medicinal Chemistry

Volumn 116, Issue , 2016, Pages 71-75

  Veselinović, Jovana B ^a   Veselinović, Aleksandar M ^a   Toropova, Alla P ^b   Toropov, Andrey A ^b  

^a UNIVERSITY OF NI   (Serbia)

^b MARIO NEGRI INSTITUTE FOR PHARMACOLOGICAL RESEARCH   (Italy)

Author keywords

Drug toxicity; Ecology; LOAEL; Optimal descriptor; QSAR; SMILES

Indexed keywords

CARBON; NITROGEN; ORGANIC COMPOUND; OXYGEN;

ARTICLE; CALIBRATION; CHEMICAL STRUCTURE; COVALENT BOND; LOWEST OBSERVED ADVERSE EFFECT LEVEL; MONTE CARLO METHOD; QUANTITATIVE STRUCTURE ACTIVITY RELATION; QUANTITATIVE STRUCTURE PROPERTY RELATION; TOXICOLOGICAL PARAMETERS; BIOLOGY; CHEMISTRY; SOFTWARE;

COMPUTATIONAL BIOLOGY; MONTE CARLO METHOD; ORGANIC CHEMICALS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SOFTWARE;

EID: 84962637710     PISSN: 02235234     EISSN: 17683254     Source Type: Journal    
DOI: 10.1016/j.ejmech.2016.03.075     Document Type: Article

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