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.
Keywords: AMMOS, binding site, estrogen receptor, in silico screening, protein flexibility, protein-ligand interactions, ligand, screening, X-ray, Complexes
Current Computer-Aided Drug Design
Title:Post-Docking Optimization and Analysis of Protein-Ligand Interactions of Estrogen Receptor Alpha using AMMOS Software
Volume: 9 Issue: 1
Author(s): Tania Pencheva, Dessislava Jereva, Maria A. Miteva and Ilza Pajeva
Affiliation:
Keywords: AMMOS, binding site, estrogen receptor, in silico screening, protein flexibility, protein-ligand interactions, ligand, screening, X-ray, Complexes
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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Pencheva Tania, Jereva Dessislava, A. Miteva Maria and Pajeva Ilza, Post-Docking Optimization and Analysis of Protein-Ligand Interactions of Estrogen Receptor Alpha using AMMOS Software, Current Computer-Aided Drug Design 2013; 9 (1) . https://dx.doi.org/10.2174/1573409911309010008
DOI https://dx.doi.org/10.2174/1573409911309010008 |
Print ISSN 1573-4099 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6697 |
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