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2018 | 12 | 1 |

Tytuł artykułu

Recent advances in computational chemistry for identification of ligands for biological receptors: interdisciplinary aspects

Autorzy

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Background: Computational (in silico) methods, such as quantitative structure-activity relationships (QSARs) are already well recognized and used in many screening programs related to environmental, industrial and medical chemistry. The main idea of the QSAR is that there is a relationship between molecular structure and ultimate biological effect caused by a chemical compound. In this respect the approach could be used successfully for prediction of various biological endpoints caused by chemical compounds including receptor binding affinity. Aim of the study: In the current study the capabilities for structure-activity modelling incorporated in noncommercial software tool have been employed for investigating the binding effect of xenobiotics toward estrogen and human pregnane X receptor. Material and methods: The analysis was performed by making use of the non-commercial software platform QSAR Toolbox. This system allows application of a set of built-in models for different biological effects, and also allows incorporation of new models for other endpoints. Results: Two models have been applied for predicting the binding effect toward estrogen and human pregnane X receptors of a large number of chemicals collected in a single database of high practical concern. The results show that there are many chemicals which are able to bind the investigated receptors. Since those chemicals are encountered in the environment, they could be considered as potential threat for society. Conclusions: The obtained results could be used as initial step for further experimental testing of those chemicals in order to confirm their potential to harm biological systems in the body.

Wydawca

-

Rocznik

Tom

12

Numer

1

Opis fizyczny

p.12-15,fig.,ref.

Twórcy

autor
  • University “Prof. Dr. Assen Zlatarov”, Burgas, Bulgaria

Bibliografia

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  • 2. Lintelmann J, Katayama A, Kurihara N, Shore L, Wenzel A. Endocrine disruptors in the environment. Pure Appl Chem 2003; 75: 631–681.
  • 3. Diamanti-Kandarakis E, Bourguignon JP, Giudice LC, Hauser R, Prins GS, Soto AM, et al. Endo-crine-disrupting chemicals: an Endocrine Society scientific statement. Endocr Rev 2009; 30: 293–342.
  • 4. Cronin M, Jaworska J, Walker J, Comber M, Watts C, Worth A. Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs. Environ Health Persp 2003; 111.
  • 5. Fang H, Tong W, Welsh W, Sheehan D. QSAR models in receptormediated effects: the nuclear receptor superfamily. J Mol Struc Theochem 2003; 622: 113–125.
  • 6. Matter H, Anger LT, Giegerich C, Güssregen S, Hessler G, Baringhaus KH . Development of in silico filters to predict activation of the pregnane X receptor (PXR) by structurally diverse drug-like molecules. Bioorg Med Chem 2012; 20: 5352–5365.
  • 7. The European Chemicals Agency (ECHA ) [online] [cit. 20.01.2018]. Available from URL: https://echa.europa.eu..
  • 8. The Organisation for Economic Co-operation and Development (OE CD) [online] [cit. 20.01.2018]. Available from URL: http://www.oecd.org/.
  • 9. QSAR Toolbox [online] [cit. 20.01.2018]. Available from URL: https://www.qsartoolbox.org/.
  • 10. OECD principles for the Varidation, for Regulatory Purpose, of (Q)SAR Models [online] [cit. 20.01.2018]. Available from URL: Available from URL: http://www.oecd.org/chemicalsafety/risk-assessment/37849783.pdf.
  • 11. Laboratory of mathematical chemistry [online] [cit. 20.01.2018]. Available from URL: http://www.oasis-lmc.org/.
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  • 13. Kliewer SA, Goodwin B, Willson TM. Molecular insights into the promiscuous interaction of human pregnane X receptor (hPXR) with diverse environmental chemicals and drug compounds. Endocr Rev 2002; 23(5): 687–702.
  • 14. Todorov M. In silico identification of human pregnane X receptor activators. J Int Sci Publ: Ecol Saf 2015; 9: 9–17.
  • 15. OECD Existing Chemicals Database [online] [cit. 20.01.2018]. Available from URL: http://webnet.oecd.org/hpv/ui/Default.aspx.
  • 16. Chen Y, Nie D. Pregnane X receptor and its potential role in drug resistance in cancer treatment. Recent Pat Anticancer Drug Discov 2009; 4: 19–27.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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