Computer Analysis of the Structure–Activity Relationship for Immunoactive Thiazolo[3,2-a]Benzimidazole Derivatives
- Authors: Dianov V.M.1, Alekhin E.K.1, Tyurina L.A.2, Aleksandrova E.L.1
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Affiliations:
- Bashkir State Medical University
- Scientific Research Technological Institute of Herbicides and Growth Regulators
- Issue: Vol 52, No 4 (2018)
- Pages: 316-319
- Section: Article
- URL: https://journals.rcsi.science/0091-150X/article/view/245156
- DOI: https://doi.org/10.1007/s11094-018-1814-5
- ID: 245156
Cite item
Abstract
Computer analysis of the structure–activity relationship and purposeful design of effective immunomodulators among thiazolo[3,2-a]benzimidazole derivatives was performed. A mathematical recognition model was formulated. Immunomodulating activity of condensed azoles was predicted (80 – 100% learning recognition). Potentially active structures were generated. Their activities were predicted. Theoretical and experimental results agreed. The tested thiazolo[3,2-a]benzimidazole derivatives exhibited the predicted activities.
About the authors
V. M. Dianov
Bashkir State Medical University
Author for correspondence.
Email: dianov@inbox.ru
Russian Federation, Ufa, Bashkortostan, 450008
E. K. Alekhin
Bashkir State Medical University
Email: dianov@inbox.ru
Russian Federation, Ufa, Bashkortostan, 450008
L. A. Tyurina
Scientific Research Technological Institute of Herbicides and Growth Regulators
Email: dianov@inbox.ru
Russian Federation, Ufa, Bashkortostan, 450029
E. L. Aleksandrova
Bashkir State Medical University
Email: dianov@inbox.ru
Russian Federation, Ufa, Bashkortostan, 450008