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In silico Activity and Target Prediction Analyses of Three Triazolothiadiazine Derivatives
Author(s) -
Ceren Sucularlı,
Birsen Tozkoparan,
Sevim Peri Aytaç
Publication year - 2022
Publication title -
acta medica
Language(s) - English
Resource type - Journals
ISSN - 2147-9488
DOI - 10.32552/2022.actamedica.737
Subject(s) - in silico , computational biology , cheminformatics , docking (animal) , drug discovery , quantitative structure–activity relationship , drug repositioning , kinome , hepatocyte growth factor receptor , chemistry , pharmacology , signal transduction , drug , biology , bioinformatics , biochemistry , hepatocyte growth factor , c met , receptor , medicine , gene , nursing

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