Skip to main content
Log in

QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids

  • Original Research
  • Published:
Structural Chemistry Aims and scope Submit manuscript

Abstract

The representation of the molecular structure by a system (sequence) of amino acids has been used to establish quantitative structure–property/activity relationships (QSPR/QSAR) which can be used for (i) bioactivities of epitope-peptides, (ii) antibacterial potencies of polypeptides, and (iii) the binding affinity of peptides that bind to the class I major histocompatibility complex molecule HLA-A*0201. The representation of the peptide structure has been done via 1-letter abbreviations of amino acids, i.e., A (alanine), C (cysteine), D (aspartic), etc. This approach allows classifying amino acids according to their function in a biochemical process (promoters of increase or decrease of an endpoint).

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

Similar content being viewed by others

References

  1. Furtula B, Gutman I (2011) J Chemom 25:87

    Article  CAS  Google Scholar 

  2. Das KC, Gutman I, Furtula B (2011) Chem Phys Lett 511:452

    Article  CAS  Google Scholar 

  3. Melagraki G, Afantitis A (2011) Curr Med Chem 18:2612

    Article  CAS  Google Scholar 

  4. Afantitis A, Melagraki G, Koutentis PA, Sarimveis G, Kollias G (2011) Eur J Med Chem 46:497

    Article  CAS  Google Scholar 

  5. Ivanciuc I, Ivanciuc O, Klein DJ (2006) Mol Divers 10:133

    Article  CAS  Google Scholar 

  6. Golbraikh A, Tropsha A (2002) J Mol Graph Model 20:269

    Article  CAS  Google Scholar 

  7. Ojha PK, Mitra I, Das RN, Roy K (2011) Chemom Intell Lab 107:194

    Article  CAS  Google Scholar 

  8. Mitra I, Saha A, Roy K (2010) Eur J Med Chem 45:5071

    Article  CAS  Google Scholar 

  9. Mercader AG, Duchowicz PR, Fernández FM, Castro EA (2010) J Chem Inf Model 50:1542

    Article  CAS  Google Scholar 

  10. Toropova AP, Toropov AA, Benfenati E, Gini G, Leszczynska D, Leszczynski J (2011) J Comput Chem 32:2727

    Article  CAS  Google Scholar 

  11. Du QS, Huang RB, Wei YT, Wang CH, Chou KC (2007) J Comput Chem 28:2043

    Article  CAS  Google Scholar 

  12. Cherkasov A, Jankovic B (2004) Molecules 9:1034

    Article  CAS  Google Scholar 

  13. Zhou X, Li Z, Dai Z, Zou X (2010) J Mol Graph Model 29:188

    Article  CAS  Google Scholar 

  14. Ojha PK, Roy K (2011) Chemom Intell Lab 109:146

    Article  CAS  Google Scholar 

  15. Toropova AP, Toropov AA, Diaza RG, Benfenati E, Gini G (2011) Cent Eur J Chem 9:165

    Article  Google Scholar 

  16. Toropova AP, Toropov AA, Benfenati E, Gini G (2011) Chemom Intell Lab 105:215

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors express their gratitude to ANTARES (the project number LIFE08-ENV/IT/00435) for financial support. Also the authors would like to express their gratitude to J. Baggott for English editing.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrey A. Toropov.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 85 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Toropov, A.A., Toropova, A.P., Raska, I. et al. QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids. Struct Chem 23, 1891–1904 (2012). https://doi.org/10.1007/s11224-012-9995-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11224-012-9995-0

Keywords

Navigation