QSAR investigation of acute toxicity of organic compounds during oral administration to mice
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TINKOV, Oleg, GRIGOREV, Veniamin, POLISCIUC, Pavel, YARKOV, Alexander, RAEVSKY, Oleg. QSAR investigation of acute toxicity of organic compounds during oral administration to mice. In: Biomeditsinskaya Khimiya, 2019, nr. 2(65), pp. 123-132. ISSN 2310-6972. DOI: https://doi.org/10.18097/PBMC20196502123
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Biomeditsinskaya Khimiya
Numărul 2(65) / 2019 / ISSN 2310-6972

QSAR investigation of acute toxicity of organic compounds during oral administration to mice

QSAR Aнализ острой токсичности органических соединений при пероральном введении мышам

DOI:https://doi.org/10.18097/PBMC20196502123

Pag. 123-132

Tinkov Oleg1, Grigorev Veniamin2, Polisciuc Pavel3, Yarkov Alexander2, Raevsky Oleg2
 
1 Military Institute of the Ministry of Defense, Tiraspol,
2 Institute of Physiologically Active Compounds of Russian Academy of Sciences,
3 Palacký University Olomouc
 
 
Disponibil în IBN: 9 octombrie 2019


Rezumat

The effect of the structure of organic compounds on the acute toxicity upon oral injection in mice was studied using 2D simplex representation of the molecular structure and Random forest (RF) methods. Satisfactory quantitative structure-activity relationship (QSAR) models were constructed (R2 test = 0,61-0,62). The interpretation of the obtained QSAR models was carried out. The contributions of known toxicophores with established mechanisms of action were calculated in order to confirm the ability of the interpretation approach to correctly rank them relative to other structural fragments. The influence of the molecular surroundings of some toxicophores was analyzed. We analyzed the contributions of other highly ranked fragments from the list of common functional groups and ring systems in order to find new potential toxicophores. The on-line version of the expert system “OCHEM” (https://ochem.eu) and Arithmetic Mean Toxicity (AMT) approach were used for a comparative QSAR study. 

Cuvinte-cheie
QSAR, random forest, Simplex descriptors, Structural interpretation, Structure-property modeling, toxicity