Skip to main content
Log in

The use of classification methods for modeling the antioxidant activity of flavonoid compounds

  • Original Paper
  • Published:
Journal of Molecular Modeling Aims and scope Submit manuscript

Abstract

A study using two classification methods (SDA and SIMCA) was carried out in this work with the aim of investigating the relationship between the structure of flavonoid compounds and their free-radical-scavenging ability. In this work, we report the use of chemometric methods (SDA and SIMCA) able to select the most relevant variables (steric, electronic, and topological) responsible for this ability. The results obtained with the SDA and SIMCA methods agree perfectly with our previous model, in which we used other chemometric methods (PCA, HCA and KNN) and are also corroborated with experimental results from the literature. This is a strong indication of how reliable the selection of variables is.

Three-dimensional projection of the hyperboxes for Classes 1 (right) and 2 (left)

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.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Takabe W, Niki E, Uchida K, Yamada S, Satoh K, Noguchi N (2001) Carcinogenesis 22:935–941

    Article  PubMed  CAS  Google Scholar 

  2. Kawanishi S, Hiraku Y, Oikawa S (2001) Mutat Res 488:65–76

    Article  PubMed  CAS  Google Scholar 

  3. Khan MA, Baseer A (2001) J Pak Med Assoc 50:261–264

    Google Scholar 

  4. Sastre J, Pallardo FV, Vina J (2000) IUBMB Life 49:427–435

    Article  PubMed  CAS  Google Scholar 

  5. van Acker SABE, van den Berg DJ, Tromp MNJL, Griffioen DH, van Bennekom WP, van der Vijgh WJF, Bast A (1996) Free Radical Biol Med 20:331–342

    Article  Google Scholar 

  6. Cao G, Sofic E, Prior RL (1997) Free Radical Biol Med 22:749–760

    Article  CAS  Google Scholar 

  7. Lien EJ, Ren S, Bui HH, Wang R (1999) Free Radical Biol Med 26:285–294

    Article  CAS  Google Scholar 

  8. Rice-Evans CA, Miller NJ, Paganga G (1996) Free Radical Biol Med 20:933–956

    Article  CAS  Google Scholar 

  9. van Acker SABE, de Groot MJ, van den Berg, DJ, Tromp MNJL, den Kelder GDO, van der Vijgh WJF, Bast A (1996) Chem Res Toxicol 9:1305–1312

    Article  PubMed  Google Scholar 

  10. van Acker FAA, Hageman JA, Haenen GRMM, van der Vijgh WJF, Bast A, Menge WMPB (2000) J Med Chem 43:53752–3760

    Article  PubMed  CAS  Google Scholar 

  11. Heijnen CGM, Haenen GRMM, van Acker FAA, van der Vijgh WJF, Bast A (2001) Toxicol In Vitro 32:111–121

    Google Scholar 

  12. Weber KC, Honório KM, da Silva SL, Mercadante R, da Silva ABF (2005) Int J Quantum Chem 103:731–737

    Article  CAS  Google Scholar 

  13. Beebe KR, Pell RJ, Seasholtz MB (1998) Chemometrics: a practical guide. Wiley: New York

    Google Scholar 

  14. Penga ZF, Strackb D, Baumertb A, Subramaniama R, Goha NK, Chiaa TF, Tana SN, Chiaa S (2003) Phytochem 62:219–228

    Article  Google Scholar 

  15. Allinger NL, Yuh YH, Lin JH (1989) J Am Chem Soc 111:8551–8566

    Article  CAS  Google Scholar 

  16. Ostlund NS (1995) ChemPlus: program for molecular visualization and simulation. University of Waterloo, Canada

    Google Scholar 

  17. Dewar MJS, Zoebisch EG, Healy EF, Stewart JJP (1985) J Am Chem Soc 107:3902–3909

    Article  CAS  Google Scholar 

  18. Ampac 6.5: program for semi-empirical calculations (1997) Semichem Inc, Shawnee

  19. Zhang HY (1998) J Am Oil Chem Soc 75:1705–1709

    Article  CAS  Google Scholar 

  20. Zhang HY (2000) Quant Struct Act Relat 19:50–53

    Article  CAS  Google Scholar 

  21. Todeschini R, Consonni V, Pavan M (2002) Dragon 2.1. Milan

  22. Pirouette 3.11 (2002) Infometrix Inc, Woodinville

  23. Minitab Statistical Software (2000) Minitab Inc, State College

  24. Sharaf MA, Illman DL, Kowalski BR (1986) Chemometrics. Wiley, New York

    Google Scholar 

  25. Kurtz HA, Stewart JJP, Dieter KM (1990) J Comput Chem 11:82

    Article  CAS  Google Scholar 

  26. Arora A, Nair MG, Strasburg GM (1998) Free Radical Biol Med 24:1355–1363

    Article  CAS  Google Scholar 

  27. Burda S, Oleszek W (2001) J Agric Food Chem 49:2774–2779

    Article  PubMed  CAS  Google Scholar 

  28. Kerry N, Rice-Evans C (1999) J Neurochem 73:247–253

    Article  PubMed  CAS  Google Scholar 

  29. Dugas Jr. AJ, Castaneda-Acosta J, Bonin G, Price KL, Fischer NH, Winston GW (2000) J Nat Products 63:327–331

    Article  CAS  Google Scholar 

  30. Sekher Pannala A, Chan TS, O'Brien PJ, Rice-Evans CA (2001) Biochem Biophys Res Commun 282:1161–1168

    Article  PubMed  CAS  Google Scholar 

  31. Brereton RG (1992) Multivariate pattern recognition in chemometrics, illustrated by case studies. Elsevier, Amsterdam

  32. Ishige K, Schubert D, Sagara Y (2001) Free Radical Biol Med 30:433–446

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the financial support given by CAPES and FAPESP (Brazilian agencies).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Albérico B. F. da Silva.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Weber, K.C., Honório, K.M., Bruni, A.T. et al. The use of classification methods for modeling the antioxidant activity of flavonoid compounds. J Mol Model 12, 915–920 (2006). https://doi.org/10.1007/s00894-005-0083-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00894-005-0083-x

Keywords

Navigation