Computer Analysis of the Structure–Activity Relationship for Immunoactive Thiazolo[3,2-a]Benzimidazole Derivatives


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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.

作者简介

V. Dianov

Bashkir State Medical University

编辑信件的主要联系方式.
Email: dianov@inbox.ru
俄罗斯联邦, Ufa, Bashkortostan, 450008

E. Alekhin

Bashkir State Medical University

Email: dianov@inbox.ru
俄罗斯联邦, Ufa, Bashkortostan, 450008

L. Tyurina

Scientific Research Technological Institute of Herbicides and Growth Regulators

Email: dianov@inbox.ru
俄罗斯联邦, Ufa, Bashkortostan, 450029

E. Aleksandrova

Bashkir State Medical University

Email: dianov@inbox.ru
俄罗斯联邦, Ufa, Bashkortostan, 450008

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