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Updated: Apr 27, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
QSAR and docking based semi-synthesis and in vivo evaluation of artemisinin derivatives for antimalarial activity
Dharmendra Kumar Yadav, Sangeeta Dhawan, Akanksha Chauhan
1Metabolic & Structural Biology Department, CSIR-Central Institute of Medicinal and Aromatic Plants, P.O.-CIMAP, Kukrail Picnic Spot Road, Lucknow-226015 (U.P.) India. f.khan@cimap.res.in.
Abstract:
To screen the active antimalarial novel artemisinin derivatives, a QSAR modeling approach was used. QSAR model showed high correlation (r(2)= 0.83 and rCV(2)= 0.81) and indicated that Connectivity Index (order 1, standard), Connectivity Index (order 2, standard), Dipole Moment (debye), Dipole Vector X (debye) and LUMO Energy (eV) well correlate with activity. High binding likeness on antimalarial target plasmepsin was detected through molecular docking. Active artemisinin derivatives showed significant activity and indicated compliance with standard parameters of oral bioavailability and ADMET. The active artemisinin derivatives namely, β-Artecyclopropylmether HMCP (A3), β- Artepipernoylether (PIP-1) (A4) and 9-(β-Dihydroartemisinoxy)methyl anthracene (A5) were semi-synthesized and characterized based on its (1)H and (13)C NMR spectroscopic data and later activity tested in vivo on mice infected with multidrug resistant strain of P. yoelii nigeriensis. Predicted results were successfully validated by in vivo experiments.

