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Updated: May 17, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
Published on: July 8, 2025
Post-docking optimization and analysis of protein-ligand interactions of estrogen receptor alpha using AMMOS software
Tania Pencheva1, Dessislava Jereva, Maria A Miteva
1University Paris Diderot, Sorbonne Paris Cite, Paris, France. maria.miteva@univ-paris-diderot.fr
Abstract:
Understanding protein-ligand interactions is a critical step in rational drug design/virtual ligand screening. In this work we applied the AMMOS_ProtLig software for post-docking optimization of estrogen receptor alpha complexes generated after virtual ligand screening protocol. Using MOE software we identified the ligand-receptor interactions in the optimized complexes at different levels of protein flexibility and compared them to the experimentally observed interactions. We analyzed in details the binding sites of three X-ray complexes of the same receptor and identified the key residues for the protein-ligand interactions. The complexes were further processed with AMMOS_ProtLig and the interactions in the predicted poses were compared to those observed in the X-ray structures. The effect of employing different levels of flexibility was analyzed. The results confirmed the AMMOS_ProtLig applicability as a helpful postdocking optimization tool for virtual ligand screening of estrogen receptors.
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