Title of article :
Discovery of Novel 1,2,3-Triazole Analogues as Anti-Tuberculosis agents Using 3D QSAR, Molecular Docking, and In Silico ADMET Screening
Author/Authors :
Ghaleb, Adib Faculty of Science - Moulay Ismail University, Meknes, Morocco , Aouidate, Adnane Faculty of Science - Moulay Ismail University, Meknes, Morocco , Bouachrine, Mohammed Moulay Ismail University, Meknes, Morocco , Lakhlifi, Tahar Faculty of Science - Moulay Ismail University, Meknes, Morocco , Sbai, Abdelouahid Faculty of Science - Moulay Ismail University, Meknes, Morocco
Pages :
15
From page :
215
To page :
229
Abstract :
Heterocyclic moieties have become more interesting for chemists, pharmacologists, microbiologists, and other researchers owing to their indomitable biological potential as anti-infective agents. Among heterocyclic compounds, 1,2,3-triazole nucleus is one of the most important and well-known heterocycles. Triazole core is considered as essential structure in medicinal chemistry which is widely used to synthesize molecules with medical benefits. In this work, a set of triazole analogues were identified as anti-tubercular agents through a series of computer-aided drug design processes, including three-dimensional quantitative structure-activity relationship (3D-QSAR) modeling, molecular docking, and ADMET studies to determine properties of these new proposed drugs. The CoMFA and CoMSIA models employed for a training set of 25 compounds reliable values of Q2 (0.63 and 0.65, respectively) and R2 (0.85 and 0.71, respectively). These results indicate that the developed models possess good predictive ability. Based on the 3D-QSAR contours, new molecules with high predicted activities were designed. Moreover, surflex-docking was applied to highlight the important interactions between the ligand and mycobacterium tuberculosis receptor, supporting the stability of the predicted molecules in the receptor. In silico ADMET results show good properties for these new anti-tubercular agents.
Keywords :
3D-QSAR , Triazole , Anti-tubercular , In silico ADMET , Surflex-docking
Journal title :
Astroparticle Physics
Serial Year :
2019
Record number :
2459895
Link To Document :
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