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Updated: May 28, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Computational evaluation of some indenopyrazole derivatives as anticancer compounds; application of QSAR and docking
Mohsen Shahlaei1, Afshin Fassihi, Lotfollah Saghaie
1Department of Medicinal Chemistry, School of Pharmacy and Isfahan Pharmaceutical Sciences Research Center, Isfahan University of Medical Sciences, Isfahan, I.R. Iran.
Abstract:
A computational procedure was performed on some indenopyrazole derivatives. Two important procedures in computational drug discovery, namely docking for modeling ligand-receptor interactions and quantitative structure activity relationships were employed. MIA-QSAR analysis of the studied derivatives produced a model with high predictability. The developed model was then used to evaluate the bioactivity of 54 proposed indenopyrazole derivatives. In order to confirm the obtained results through this ligand-based method, docking was performed on the selected compounds. An ADME-Tox evaluation was also carried out to search for more suitable compounds. Satisfactory bioactivities and ADME-Tox profiles for two of the compounds, namely 62 and S13, propose that further studies should be performed on such devoted chemical structures.
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