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Updated: Oct 14, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Fragment-based design of selective GPCR ligands guided by free energy simulations
Pierre Matricon1, Duc Duy Vo1, Zhan-Guo Gao2
1Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala SE-751 24, Sweden. jens.carlsson@icm.uu.se.
None:
Fragment-based drug discovery relies on successful optimization of weakly binding ligands for affinity and selectivity. Herein, we explored strategies for structure-based evolution of fragments binding to a G protein-coupled receptor. Molecular dynamics simulations combined with rigorous free energy calculations guided synthesis of nanomolar ligands with up to >1000-fold improvements of binding affinity and close to 40-fold subtype selectivity.
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