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Updated: May 21, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
The 18th European symposium on quantitative structure-activity relationships
Anna Tsantili-Kakoulidou1, Dimitris K Agrafiotis
1University of Athens, School of Pharmacy, Department of Pharmaceutical Chemistry, Panepistimiopolis, Zografou, Athens 157 71, Greece Tsantili@pharm.uoa.gr.
The 18th European Symposium on Quantitative Structure-Activity Relationships (QSAR) focused on discovery informatics and drug design. Advances in QSAR and informatics tools were discussed for developing safer and more effective drugs.
Area of Science:
- Medicinal Chemistry
- Cheminformatics
- Bioinformatics
- Pharmacoinformatics
- Drug Discovery
Background:
- The 18th European Symposium on Quantitative Structure-Activity Relationships (QSAR) convened in Rhodes, Greece.
- The symposium was organized by the Hellenic Society of Medicinal Chemistry and the Cheminformatics and QSAR Society.
- Co-sponsorship was provided by the European Federation of Medicinal Chemistry.
Purpose of the Study:
- To discuss the impact of informatics (chemoinformatics, bioinformatics, pharmacoinformatics) on drug discovery.
- To explore the broader context of biological complexity in drug development.
- To highlight recent scientific and technological advances in QSAR.
Main Methods:
- The symposium featured discussions and presentations on QSAR and informatics.
- Key presentations focused on the application of these tools in drug discovery.
- The event served as a platform for sharing the latest advancements.
Main Results:
- Latest scientific and technological advances in QSAR were presented.
- The impact of informatics on drug discovery was thoroughly addressed.
- Discussions highlighted QSAR's role in discovering new drugs.
Conclusions:
- QSAR and informatics are crucial tools for modern drug discovery.
- The symposium underscored the importance of interdisciplinary approaches in addressing biological complexity.
- Future drug development will likely leverage advanced informatics and QSAR methodologies.
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