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Updated: Jun 14, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Design of potential reverse transcriptase inhibitor containing Isatin nucleus using molecular modeling studies
Vidya Pawar1, Deepak Lokwani, Shashikant Bhandari
1Department of Medicinal Chemistry, AISSMS College of Pharmacy, Near RTO, Kennedy Road, Pune 411 001, India.
New Isatin analogues were developed using quantitative structure-activity relationship (QSAR) studies to inhibit HIV activity. Three synthesized compounds demonstrated significant Reverse Transcriptase inhibition, offering potential for new anti-HIV drug development.
Area of Science:
- Medicinal Chemistry
- Computational Chemistry
- Drug Discovery
Background:
- HIV remains a global health challenge, necessitating novel therapeutic agents.
- Isatin analogues have shown potential antiviral properties.
- Quantitative Structure-Activity Relationship (QSAR) studies are crucial for rational drug design.
Purpose of the Study:
- To design and synthesize novel Isatin analogues with enhanced anti-HIV activity.
- To establish correlations between chemical structure and anti-HIV activity using QSAR.
- To evaluate the binding affinity and ADME properties of designed compounds.
Main Methods:
- Two-Dimensional (2D) and Three-Dimensional (3D) QSAR studies employing Multiple Linear Regression (MLR) and k Nearest Neighbor Molecular Field Analysis (kNN MFA).
- Molecular docking studies to assess binding affinity to the Reverse Transcriptase enzyme.
- Synthesis of novel Isatin analogues and experimental evaluation using Reverse Transcriptase Assay.
- Prediction of Absorption, Distribution, Metabolism, and Excretion (ADME) properties.
Main Results:
- QSAR models successfully correlated chemical structure with anti-HIV activity.
- Designed New Chemical Entities (NCEs) showed promising binding affinities.
- Three synthesized Isatin analogues exhibited significant Reverse Transcriptase inhibition, outperforming the standard drug Navirapine.
- Structure-Activity Relationships (SAR) were elucidated based on computational and experimental findings.
Conclusions:
- The study successfully identified potent Isatin-based anti-HIV agents through integrated computational and experimental approaches.
- The developed QSAR models provide a valuable framework for designing future anti-HIV compounds.
- The synthesized compounds represent promising leads for further development into anti-HIV therapeutics.
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