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Fragment descriptors in QSPR: Application to magnetic susceptibility calculations

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Abstract

Magnetic susceptibility of various classes of organic compounds was first studied within the framework of the fragment approach based on the QSPR method. A linear regression model has been suggested for predicting magnetic susceptibility of compounds based on descriptors that account for the fragment composition of the molecule and the parameter V x that reflects the molecular volume.

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REFERENCES

  1. Physical Encyclopedia [in Russian], Vol. 3, Bolshaya Sovetskaya Entsiklopediya, Moscow (1992).

  2. P. Pascal, Ann. Chim. Phys., 19, 5–70 (1910); Compt. Rend., 147, 56–58 (1908).

    Google Scholar 

  3. T. G. Schmalz, D. J. Klein, and B. L. Sanderback, J. Chem. Inf. Comput. Sci., 32, 54–57 (1992).

    Google Scholar 

  4. P. O’Sullivan and H. F. Hameka, J. Am. Chem. Soc., 92, No.1, 25–32 (1970).

    Google Scholar 

  5. G. De Luca, N. Russo, E. Sicilia, and M. Toscano, J. Chem. Phys., 105, 3206–3210 (1996).

    Google Scholar 

  6. A. R. Katritzky, P. Barczynski, G. Musumarra, et al., J. Am. Chem. Soc., 111, No.1, 7–15 (1989).

    Google Scholar 

  7. A. F. Pozharskii, Theoretical Principles of Heterocyclic Chemistry [in Russian], Khimiya, Moscow (1985).

    Google Scholar 

  8. P. von R. Schleyer, P. K. Freeman, H. Jiao, and B. Goldfuss, Angew. Chem., Int. Ed., 34, No.3, 337–340 (1995).

    Google Scholar 

  9. P. W. Selwood, Magnetochemistry, Interscience, New York (1956).

  10. L. Li, Y. Zhang, and X. You, J. Chem. Inf. Comput. Sci., 35, 697–700 (1995).

    Google Scholar 

  11. CRC Handbook of Chemistry and Physics, R. C. Weast (ed.), CRS Press, Boca Raton, FL (1983), pp. 114–122.

    Google Scholar 

  12. E. Estrada, Y. Gutierrez, and H. Gonzalez, J. Chem. Inf. Comput. Sci., 40, 1386–1399 (2000).

    Google Scholar 

  13. S. Liu, R. Zhang, M. Liu, and Z. Hu, ibid., 37, 1146–1151 (1997).

    Google Scholar 

  14. N. S. Zefirov and V. A. Palyulin, ibid., 42, 1112–1122 (2002).

    Google Scholar 

  15. N. S. Zefirov, V. A. Petelin, V. A. Palyulin, and J. McFarland, Dokl. Akad. Nauk, 327, Nos.4–6, 504–508 (1992).

    Google Scholar 

  16. D. V. Sukhachev, T. S. Pivina, V. A. Shlyapochnikov, E. A. Petrov, et al., ibid., 328, No.2, 188/189 (1993).

    Google Scholar 

  17. D. V. Sukhachev, T. S. Pivina, N. I. Zhokhova, et al., Izv. Akad. Nauk, Ser. Khim., No. 9, 1653–1656 (1995).

  18. D. V. Sukhachev, T. S. Pivina, N. I. Zhokhova, et al., ibid., 1650–1657.

  19. D. V. Sukhachev, T. S. Pivina, N. I. Zhokhova, et al., ibid., 1661–1665.

  20. N. S. Zefirov and V. A. Palyulin, J. Chem. Inf. Comput. Sci., 41, 1022–1027 (2001).

    Google Scholar 

  21. N. I. Zhokhova, N. I. Baskin, V. A. Palyulin, et al., Izv. Akad. Nauk, Ser. Khim., No. 5, 1005–1009 (2003).

  22. N. I. Zhokhova, N. I. Baskin, V. A. Palyulin, et al., ibid., No. 9, 1787–1793.

  23. I. I. Baskin, V. A. Palyulin, and N. S. Zefirov, QSPR and Molecular Modelling: Concepts, Computational Tools and Biological Applications, F. Sanz, J. Giraldo, and F. Manaut (eds.), Prous Science Publishers, Barcelona (1995), pp. 30/31.

    Google Scholar 

  24. I. I. Baskin, V. A. Palyulin, and N. S. Zefirov, J. Chem. Inf. Comput. Sci., 37, 715–721 (1997).

    Google Scholar 

  25. N. V. Artemenko, I. I. Baskin, V. A. Palyulin, and N. S. Zefirov, Dokl. Akad. Nauk, 381, No.2, 203–206 (2001).

    Google Scholar 

  26. N. V. Artemenko, I. I. Baskin, V. A. Palyulin, and N. S. Zefirov, Izv. Akad. Nauk, Ser. Khim., No. 1, 19–27 (2003).

  27. I. I. Baskin, M. I. Skvortsova, I. V. Stankevich, and N. S. Zefirov, J. Chem. Inf. Comput. Sci., 35, p. 527 (1995).

    Google Scholar 

  28. M. H. Abraham and J. C. McGowan, Chromatographia, 23, No.4, 243–246 (1987).

    Google Scholar 

  29. J. C. Dearden, S. J. Bradburne, and M. H. Abraham, QSPR: Rational Approach to the Design of Bioactive Compounds, C. Silipo and A. Vittoria (eds.), Elsevier, Amsterdam (1991), p. 143.

    Google Scholar 

  30. J. Zupan and J. Gasteiger, Neural Networks in Chemistry, Wiley-VCH, Weinheim (1999).

    Google Scholar 

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Original Russian Text Copyright © 2004 by N. I. Zhokhova, I. I. Baskin, V. A. Palyulin, A. N. Zefirov, and N. S. Zefirov

Translated from Zhurnal Strukturnoi Khimii, Vol. 45, No. 4, pp. 660–669, July–August, 2004.

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Zhokhova, N.I., Baskin, I.I., Palyulin, V.A. et al. Fragment descriptors in QSPR: Application to magnetic susceptibility calculations. J Struct Chem 45, 626–635 (2004). https://doi.org/10.1007/s10947-005-0037-2

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  • DOI: https://doi.org/10.1007/s10947-005-0037-2

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