Skip to main content
Log in

Structure–reactivity relationship in Diels–Alder reactions obtained using the condensed reaction graph approach

  • Published:
Journal of Structural Chemistry Aims and scope Submit manuscript

Abstract

By the structural representation of a chemical reaction in the form of a condensed graph a model allowing the prediction of rate constants (logk) of Diels–Alder reactions performed in different solvents and at different temperatures is constructed for the first time. The model demonstrates good agreement between the predicted and experimental logk values: the mean squared error is less than 0.75 log units. Erroneous predictions correspond to reactions in which reagents contain rarely occurring structural fragments. The model is available for users at https://cimm.kpfu.ru/predictor/.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Canada)

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. M. Hartenfeller, M. Eberle, P. Meier, C. Nieto-Oberhuber, K.-H. Altmann, G. Schneider, E. Jacoby, and S. Renner, J. Chem. Inf. Model., 51, No. 12, 3093 (2011).

    Article  CAS  Google Scholar 

  2. H. C. Kolb, M. G. Finn, and K. B. Sharpless, Angew. Chem. Int. Ed. Engl., 40, No. 11, 2004 (2001).

    Article  CAS  Google Scholar 

  3. E. M. Sletten and C. R. Bertozzi, Acc. Chem. Res., 44, No. 9, 666 (2011).

    Article  CAS  Google Scholar 

  4. H. C. Kolb and K. B. Sharpless, Drug Discov. Today., 8, No. 24, 1128 (2003).

    Article  CAS  Google Scholar 

  5. D. A. MacKenzie, A. R. Sherratt, M. Chigrinova, L. L. Cheung, and J. P. Pezacki, Curr. Opin. Chem. Biol., 21, 81 (2014).

    Article  CAS  Google Scholar 

  6. M. L. Blackman, M. Royzen, and J. M. Fox, J. Am. Chem. Soc., 130, No. 41, 13518 (2008).

    Article  CAS  Google Scholar 

  7. Y. Gong and L. Pan, Tetrahedron Lett., 56, No. 17, 2123 (2015).

    Article  CAS  Google Scholar 

  8. V. A. Pal`m, Principles of Quantitative Theory of Organic Reactions [in Russian], Khimiya, Leningrad (1977).

    Google Scholar 

  9. V. A. Pal`m, Uspekhi Khimii, 30, No. 9, 1069 (1961).

    CAS  Google Scholar 

  10. R. I. Nugmanov, T. I. Madzhidov, G. R. Khaliullina, et al., J. Struct. Chem., 55, No. 6, 1026 (2014).

    Article  CAS  Google Scholar 

  11. T. I. Madzhidov, P. G. Polishchuk, R. I. Nugmanov, et al., Russ. J. Org. Chem., 50, No. 4, 459 (2014).

    Article  CAS  Google Scholar 

  12. T. I. Madzhidov, A. V. Bodrov, T. R. Gimadiev, et al., J. Struct. Chem., 56, No. 7, 1227–1234 (2015).

    Article  CAS  Google Scholar 

  13. A. A. Kravtsov, P. V. Karpov, I. I. Baskin, et al., Dokl. Chem., 441, No. 1, 314 (2011).

    Article  CAS  Google Scholar 

  14. A. A. Kravtsov, P. V. Karpov, I. I. Baskin, et al., Dokl. Chem., 440, No. 2, 299 (2011).

    Article  CAS  Google Scholar 

  15. N. M. Halberstam, I. I. Baskin, V. A. Palyulin, and N. S. Zefirov, Mendeleev Commun., 12, No. 5, 185 (2002).

    Article  Google Scholar 

  16. G. E. Vladutz, Inf. Storage Retr., 1, Nos. 2/3, 117 (1963).

    Google Scholar 

  17. A. Varnek, D. Fourches, F. Hoonakker, and V. P. Solov′ev, J. Comput. Aided. Mol. Des., 19, Nos. 9/10, 693 (2005).

    Article  CAS  Google Scholar 

  18. F. Hoonakker, N. Lachiche, A. Varnek, et al., Int. J. Artif. Intell. Tools., 20, No. 2, 253 (2011).

    Article  Google Scholar 

  19. A. De. Luca, D. Horvath, G. Marcou, et al., J. Chem. Inf. Model., 52, No. 9, 2325 (2012).

    Article  Google Scholar 

  20. G. Marcou, J. Aires de Sousa, D. A. R. S. Latino, et al., J. Chem. Inf. Model, 55, No. 2, 239 (2015).

    Article  CAS  Google Scholar 

  21. C. Muller, G. Marcou, D. Horvath, et al., J. Chem. Inf. Model, 52, No. 12, 3116 (2012).

    Article  CAS  Google Scholar 

  22. T. I. Madzhidov, R. I. Nugmanov, T. R. Gimadiev, A. I. Lin, I. S. Antipin, and A. A. Varnek, Butlerovskie Soobshcheniya, 44, No. 12, 170 (2015).

    Google Scholar 

  23. L. Breiman, Mach. Learn., 24, No. 2, 123 (1996).

    Google Scholar 

  24. H. Drucker, C. J. C. Burges, L. Kaufman, A. Smola, and V. Vapnik, Support vector regression machines. Advances in Neural Information Processing Systems, M. C. Mozer, J. I. Jordan, and J. I. Petsche (ed.); MIT Press, Vol. 9, 155 (1997).

    Google Scholar 

  25. D. Horvath, J. Brown, G. Marcou, et al., Challenges., 5, No. 2, 450 (2014).

    Article  Google Scholar 

  26. I. V. Tetko, I. Sushko, A. K. Pandey, et al., J. Chem. Inf. Model, 48, No. 9, 1733 (2008).

    Article  CAS  Google Scholar 

  27. InstantJChem 15.7.27.0. ChemAxon; http://www.chemaxon.com (2015).

  28. Standardizer, JChem 15.8.3.0. ChemAxon; http://www.chemaxon.com (2015).

  29. J. Catalán, V. López, P. Pérez, et al., Liebigs Ann., 1995, No. 2, 241 (1995).

    Article  Google Scholar 

  30. J. Catalán and C. Díaz, Liebigs Ann., 1997, No. 9, 1941 (1997).

    Article  Google Scholar 

  31. J. Catalán, C. Díaz, V. López, et al., Liebigs Ann., 1996, No. 11, 1785 (1996).

    Article  Google Scholar 

  32. R. W. Taft and M. J. Kamlet, J. Am. Chem. Soc., 98, No. 10, 2886 (1976).

    Article  CAS  Google Scholar 

  33. M. J. Kamlet and R. W. Taft, J. Am. Chem. Soc., 98, No. 2, 377 (1976).

    Article  CAS  Google Scholar 

  34. R. W. Taft and M. J. Kamlet, J. Am. Chem. Soc., 98, No. 10, 2886 (1976).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T. I. Madzhidov.

Additional information

Original Russian Text © 2017 T. I. Madzhidov, T. R. Gimadiev, D. A. Malakhova, R. I. Nugmanov, I. I. Baskin,I. S. Antipin, A. A. Varnek.

Translated from Zhurnal Strukturnoi Khimii, Vol. 58, No. 4, pp. 685–691, July–August, 2017.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Madzhidov, T.I., Gimadiev, T.R., Malakhova, D.A. et al. Structure–reactivity relationship in Diels–Alder reactions obtained using the condensed reaction graph approach. J Struct Chem 58, 650–656 (2017). https://doi.org/10.1134/S0022476617040023

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0022476617040023

Keywords

Navigation