Application of the OECD QSAR Toolbox software for calculating the parameters of acute aquatic toxicity of chemicals

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Introduction. The Organization for Economic Cooperation and Development (OECD) has developed the QSAR Toolbox software, which allows predicting the properties of chemicals including (eco)toxic based on the structure of the substance using mathematical statistics methods. The purpose of this work was to study the applicability of the OECD QSAR Toolbox software for calculating the acute aquatic toxicity parameters (LC50 and EC50) of chemicals necessary, for example, to determine the hazard class of chemical products according to GOST 32419-2013 “Classification of chemical products. General requirements” or to prepare a safety data sheet for products.

Materials and methods. The OECD QSAR Toolbox software version 4.4.1 (current for August 2021), documents, manuals and webinars of the OECD, the European Chemical Agency (ECHA), the Laboratory of Mathematical Chemistry of the University of Burgas, Bulgaria (the main software developer), articles.

Discussion of the results. The OECD QSAR Toolbox software version 4.4.1 allows calculating the acute aquatic toxicity parameters (LC50, EC50) of chemicals using trend analysis and read across, as well as automated and standardized workflows. About 50 chemicals with experimental data of LC50 and EC50 belonging to different hazard classes according to GOST 32419-2013, with different functional groups in the structure of the molecule, were selected for testing. Calculated values of LC50 and EC50 of chemicals were compared with the experimental data.

Conclusion. The OECD QSAR Toolbox software version 4.1.1 can be successfully used to calculate the acute toxicity parameters LC50, Pimephales promelas, 96 h; LC50 (EC50), Actinopterygii, 96 h and LC50, Daphnia magna, 48 h for a wide range of organic compounds, but is not applicable for inorganic substances, organometallic compounds, polymer molecules, chemicals containing metal ions.

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Khalidya Khamidulina

Russian Register of Potentially Hazardous Chemical and Biological Substances - Branch of F.F. Erisman Federal Scientific Center of Hygiene, Rospotrebnadzor; Russian Medical Academy of Continuous Professional Education, RF Ministry of Health

编辑信件的主要联系方式.
Email: director@rosreg.info
ORCID iD: 0000-0001-7319-5337

Doctor of medical sciences; director of the Russian Register of Potentially Hazardous Chemical and Biological Substances – Branch of F.F. Erisman Federal Scientific Center of Hygiene, Rospotrebnadzor, 121087, Moscow, Russian Federation; Professor, Head of the Department of Hygiene, Russian Medical Academy of Continuous Professional Education, RF Ministry of Health, 125993, Moscow, Russian Federation.

e-mail: director@rosreg.info 

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Elena Tarasova

Russian Register of Potentially Hazardous Chemical and Biological Substances - Branch of F.F. Erisman Federal Scientific Center of Hygiene, Rospotrebnadzor

Email: secretary@rosreg.info
ORCID iD: 0000-0002-4020-3123

Кандидат химических наук, химик-эксперт филиала РПОХБВ ФБУН ФНЦГ им. Ф.Ф. Эрисмана Роспотребнадзора, г. Москва.

e-mail: secretary@rosreg.info 

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Mikhail Lastovetskiy

Russian Register of Potentially Hazardous Chemical and Biological Substances - Branch of F.F. Erisman Federal Scientific Center of Hygiene, Rospotrebnadzor

Email: secretary@rosreg.info
ORCID iD: 0000-0001-9887-0626

Химик-эксперт филиала РПОХБВ ФБУН ФНЦГ им. Ф.Ф. Эрисмана Роспотребнадзора, г. Москва.

e-mail: secretary@rosreg.info 

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参考

  1. QSAR Toolbox. https://qsartoolbox.org/ (assessed 12.11.2021).
  2. Lessigiarska I., Worth A.P., Sokull-Klüttgen B., Jeram S., Dearden J.C., Netzeva T.I., Cronin M.T.D. Qsar investigation of a large data set for fish, algae and Daphnia toxicity. SAR and QSAR in Environmental Research. 2004, 15(5-6): 413-31.
  3. Netzeva T.I., Pavan M., Worth A.P. Review of (Quantitative) Structure-Activity Relationships for Acute Aquatic Toxicity. QSAR & Combinatorial Science. 2008, 27(1): 77-90.
  4. Bohlen M.-L., Jeon H.P., Kim Y.J., Sung B. In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox. Journal of Visualized Experiments. 2019, 150: 1-15.
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  6. Yordanova D., Schultz T.W., Kuseva C., Tankova K., Ivanova H., Dermen I., Pavlov T., Temelkov S., Chapkanov A., Georgiev M., Gissi A., Sobanski T., Mekenyan O.G. Automated and Standardized Workflows in the OECD QSAR Toolbox.Computational Toxicology. 2019, 10: 89-104.
  7. Russom C.L., Bradbury S.P., Broderius S.J., Hammermeister D.E., Drummond R.A. Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow (Pimephales promelas). Environmental Toxicology and Chemistry. 1997, 16(5): 948-67.
  8. Kutsarova S., Mehmed A., Cherkezova D., Stoeva S., Georgiev M., Petkov T., Chapkanov A., Schultz T.W., Mekenyan O.G. Automated read-across workflow for predicting acute oral toxicity: I. The decision scheme in the QSAR toolbox. Regulatory Toxicology and Pharmacology. 2021, 125: 1-7.
  9. Dimitrov S.D., Diderich R., Sobanski T., Pavlov T.S., Chankov G.V., Chapkanov A.S., Karakolev Y.H., Temelkov S.G., Vasilev R.A., Gerova K.D., Kuseva C.D., Todorova N.D., Mahmed A.M., Rasenberg M., Mekenyan O.G. QSAR Toolbox - workflow and major functionalities. SAR and QSAR in Environmental Research. 2016, 27(3): 203-19.
  10. OECD/eChemPortal. https://www.echemportal.org (assessed 12.11.2021).
  11. ECHA European Chemicals Agency 6. https://iuclid6.echa.europa.eu/download (assessed 12.11.2021).

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