Russian Journal of Bioorganic Chemistry

, Volume 26, Issue 5, pp 297–305

Computer prediction of biological activity spectra for low-molecular peptides and peptidomimetics

  • N. B. Martynova
  • D. A. Filimonov
  • V. V. Poroikov
Article

DOI: 10.1007/BF02759281

Cite this article as:
Martynova, N.B., Filimonov, D.A. & Poroikov, V.V. Russ J Bioorg Chem (2000) 26: 297. doi:10.1007/BF02759281

Abstract

The wide variety of the biological effects of peptides and their high activity are the main reasons for the search for new basic drug structures among them. The most promising compounds can be selected using the PASS computer system (Prediction of Activity Spectra for Substances). This system was originally developed to predict the activities of low-molecular “drug-like” organic compounds. Its predictive capacity is described here by the example of 134 peptides and peptidomimetics with nine known biological activities. Its average predictive power is shown to be approximately 97%. Such an accuracy demonstrates that computer prediction can be applied both to the evaluation of effects and mechanisms of action of endogenous and synthetic peptides and to the screening of new therapeutic agents among the most promising basic structures.

Key words

peptides peptidomimetics biological activity computer prediction search for basic structures of new therapeutics 

Abbreviations

ACTH

adrenocorticotropic hormone

CNS

central nervous system

PASS

Prediction of Activity Spectra for Substances

Copyright information

© MAIK “Nauka/Interperiodica” 2000

Authors and Affiliations

  • N. B. Martynova
    • 1
  • D. A. Filimonov
    • 1
  • V. V. Poroikov
    • 1
  1. 1.Institute of Biomedical ChemistryRussian Academy of Medical SciencesMoscowRussia

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