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This study identifies novel 1,2,3-triazole analogues as potential anti-tuberculosis agents using advanced computational techniques such as 3D-QSAR modeling, molecular docking, and in silico ADMET screening. The developed models demonstrated good predictive abilities, with Q2 values of 0.63 and 0.65, indicating the potential effectiveness of these compounds against multidrug-resistant strains of Mycobacterium tuberculosis. The results suggest that these new triazole derivatives could serve as promising candi

Author

physiqnest

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EN