Open AccessIn silico study of 2,4,5-trisubstituted thiazoles as inhibitors of tuberculosis using 3D-QSAR, molecular docking, and ADMET analysis
Author(s) -
Ayoub Khaldan,
Soukaina Bouamrane,
Reda El-Mernissi,
Hamid Maghat,
Mohammed Aziz Ajana,
Abdelouahid Sbai,
Mohammed Bouachrine,
Tahar Lakhlifi
Publication year - 2022
Publication title -
el-cezeri
Language(s) - English
Resource type - Journals
ISSN - 2148-3736
DOI - 10.31202/ecjse.961940
Subject(s) - quantitative structure–activity relationship , in silico , docking (animal) , test set , chemistry , training set , stereochemistry , computational biology , protein data bank (rcsb pdb) , combinatorial chemistry , computer science , biology , artificial intelligence , biochemistry , medicine , nursing , gene