Skip to main content
Log in

A new approach for accurate prediction of toxicity of amino compounds

  • Original Paper
  • Published:
Journal of the Iranian Chemical Society Aims and scope Submit manuscript

Abstract

Many amino compounds are highly toxic to living organisms and mammals. However, there is the increase of production and the consumption of these compounds annually as well as there is a need to design new amino compounds. A simple method is introduced to predict the toxicity of amino derivatives of organic compounds without using any computer codes, which can be done by prediction of the values of LD50 (lethal dose, 50 %) in rats via oral. It is based on the existence of some molecular moieties that may increase or decrease toxicity of amino derivatives. The predicted results of the new simple model for 58 aliphatic amines and anilines are more reliable than those values obtained by quantitative structure–toxicity relationship methods, where their computed data were available. The predicted results of the new method are also compared with experimental data for further 112 amino derivatives, which show good to excellent agreement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. H. Greim, D. Bttry, H.-J. Klimisch, M. Oeben-Negele, K. Ziegler-Skylakakis, Toxicity of aliphatic amines: structure-activity relationship. Chemosphere 36, 271 (1998)

    Article  CAS  Google Scholar 

  2. B. Rasulev, H. Kusic, D. Leszczynska, J. Leszczynski, N. Koprivanac, QSAR modeling of acute toxicity on mammals caused by aromatic compounds: the case study using oral LD50 for rats. J. Environ. Monit. 12, 1037 (2010)

    Article  CAS  Google Scholar 

  3. R. A. Meyers, D. Kender Dittrick, The Wiley Encyclopedia of Environmental Pollution and Cleanup (Wiley, New York, 1999)

  4. W.P. Cunningham, M.A. Cunningham, B. Saigo, Environmental Science, a Global Concern (McGraw-Hill Education, New York, 2005)

    Google Scholar 

  5. M. Sittig, Handbook of toxic and hazardous chemicals and carcinogens, 2nd edn. (Noyes Publications, Park Ridge, 1985)

    Google Scholar 

  6. B. Bukowska, S. Kowalska, The presence and toxicity of phenol derivatives—their effect on human erythrocytes. Curr. Top. Biophys. 27, 43 (2003)

    Google Scholar 

  7. U.S. Environmental Protection Agency. Toxicological review of phenol. EPA/635/R-02/006. In support of summary information on the integrated risk information system (IRIS), 2002

  8. U.S. Environmental Protection Agency. Carcinogenic effects of benzene: an update. EPA/600/P-97/001F. 1998

  9. K. Hayward, Drinking water contaminant hit-list for US EPA, Water 21, September–October, 4, 1998

  10. E. Kriek, in Environmental Carcinogens, ed. by P. Emmelot, E. Kriek (Elsevier, Amsterdam, 1979), pp. 143–164

  11. J. Lavoie, S. Srinivasan, R. Nagarajan, Using cheminformatics to find simulants for chemical warfare agents. J. Hazard. Mater. 194, 85 (2011)

    Article  CAS  Google Scholar 

  12. E. Grabińska-Sota, Genotoxicity and biodegradation of quaternary ammonium salts in aquatic environments. J. Hazard. Mater. 195, 182 (2011)

    Article  Google Scholar 

  13. H. Schmitt, R. Altenburger, B. Jastorff, G. Schuurmann, Quantitative structure-activity analysis of the algae toxicity of nitroaromatic compounds. Chem. Res. Toxicol. 13, 441 (2000)

    Article  CAS  Google Scholar 

  14. M. Xu, A. Zhang, S. Han, L. Wang, Studies of 3D-quantitative structure-activity relationships on a set of nitroaromatic compounds: CoMFA, advanced CoMFA and CoMSIA. Chemosphere 48, 707 (2002)

    Article  CAS  Google Scholar 

  15. O. Isayev, B. Rasulev, L. Gorb, J. Leszczynski, Structure-toxicity relationships of nitroaromatic compounds. Mol. Divers. 10, 233 (2006)

    Article  CAS  Google Scholar 

  16. H. Jackel, W. Klein, Prediction of mammalian toxicity by quantitative structure-activity relationships: aliphatic amines and anilines. Quant. Struct. Act. Relat. 10, 198 (1991)

    Article  Google Scholar 

  17. X. Lu, W. Yaping, H. Changyu, L. Hua, A QSAR of the toxicity of amino-benzenes and their structures. Sci. China 43, 129 (2000)

    Google Scholar 

  18. B. Rasulev, H. Kusic, D. Leszczynska, J. Leszczynski, N. Koprivanac, QSAR modeling of acute toxicity on mammals caused by aromatic compounds: the case study using oral LD50 for rats. J. Environ. Monit. 12, 1037 (2010)

    Article  CAS  Google Scholar 

  19. M. Khayatzadeh Mahani, M. Chaloosi, M. Ghanadi Maragheh, A.R. Khanchi, D. Afzali, Prediction of Acute in vivo toxicity of some amine and amide drugs to rats by multiple linear regression, partial least squares and an artificial neural network. Anal. Sci. 23, 1091 (2007)

    Article  Google Scholar 

  20. X. Lu, Y. Jiaan, Three-dimensional structural features and the toxicity of aminobenzenes and phenols. Sci. China 46, 431 (2003)

    Google Scholar 

  21. H. Greim, D. Bttry, H.J. Klimisch, M. Oeben-Negele, K.Z. Skylakakis, Toxicity of aliphatic amines: structure–activity relationship. Chemosphere 36, 271 (1998)

    Article  CAS  Google Scholar 

  22. R. Gieleciak, J. Polanski, Modeling robust QSAR. 2. iterative variable elimination schemes for CoMSA: application for modeling benzoic acid pKa values. J. Chem. Inf. Model. 47, 547 (2007)

    Article  CAS  Google Scholar 

  23. A.P. Freidig, S. Dekkers, M. Verwei, E. Zvinavashe, J.G. Bessems, J.J. van de Sandt, Development of a QSAR for worst case estimates of acute toxicity of chemically reactive compounds. Toxicol. Lett. 170, 214 (2007)

    Article  CAS  Google Scholar 

  24. Y.Z. Sun, Z.J. Li, X.L. Yan, L. Wang, F.H. Meng, Study on the quantitative structure-toxicity relationships of benzoic acid derivatives in rats via oral LD50. Med. Chem. Res. 18, 712 (2009)

    Article  CAS  Google Scholar 

  25. Z. Li, Y. Sun, X. Yan, F. Meng, Study on QSTR of benzoic acid compounds with MCI. Int. J. Mol. Sci. 11, 1228 (2010)

    Article  CAS  Google Scholar 

  26. M.H. Keshavarz, H.R. Pouretedal, Simple and reliable prediction of toxicological activities of benzoic acid derivatives without using any experimental data or computer codes, Med. Chem. Res, 2012. doi:10.1007/s00044-012-01347-7

  27. M.H. Keshavarz, F. Gharagheizi, A. Shokrolahi, S. Zakinejad, Accurate prediction of the toxicity of benzoic acid compounds in mice via oral without using any computer codes. J. Hazard. Mater. 237–238, 79 (2012)

    Article  Google Scholar 

  28. H.R. Pouretedal, M.H. Keshavarz, Prediction of toxicity of nitroaromatic compounds through their molecular structures. J. Iran. Chem. Soc. 8, 78 (2011)

    Article  CAS  Google Scholar 

  29. V.E. Kuz’min, E.N. Muratov, A.G. Artemenko, L. Gorb, M. Qasim, J. Leszczynski, The effect of nitroaromatics’ composition on their toxicity in vivo: Novel, efficient non-additive 1D QSAR analysis. Chemosphere 72, 1373 (2008)

    Article  Google Scholar 

  30. V.E. Kuz’min, E.N. Muratov, A.G. Artemenko, L. Gorb, M. Qasim, J. Leszczynski, The effects of characteristics of substituents on toxicity of the nitroaromatics: HiT QSAR study. Comput. Aided. Mol. Des. 22, 747 (2008)

    Article  Google Scholar 

  31. W. J. Palm III, Matlab for Engineering Applications (WBC/McGraw-Hill, 1999), p. 339 and p. 227

  32. National Library of Medicine. http://sis.nlm.nih.gov/chemical.html, references for individual molecules are given therein

Download references

Acknowledgments

We would like to thank the research committee of Malek-ashtar University of Technology (MUT) for supporting this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohammad Hossein Keshavarz.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pouretedal, H.R., Keshavarz, M.H. & Abbasi, A. A new approach for accurate prediction of toxicity of amino compounds. J IRAN CHEM SOC 12, 487–502 (2015). https://doi.org/10.1007/s13738-014-0506-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13738-014-0506-7

Keywords

Navigation