4.5 Article

Computational Insights into the Mechanism of Ligand Unbinding and Selectivity of Estrogen Receptors

Journal

JOURNAL OF PHYSICAL CHEMISTRY B
Volume 113, Issue 30, Pages 10436-10444

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/jp903785h

Keywords

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Funding

  1. Program for New Century Excellent Talents in University [NCET-08-0774]
  2. 863 High-Tech Project [2006AA020404]
  3. 111 Project [B07023]
  4. National Natural Science Foundation of China [30600785]
  5. Shanghai Rising-Star Program [07QA14016]

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Estrogen receptors (ER) belong to the nuclear receptor superfamily, and two subtypes, ER alpha and ER beta, have been identified to date. The differentiated functions and receptor expressions of ER alpha and ER beta made it attracted to discover subtype-specified ligands with high selectivity. However, these two subtypes are highly homologous and only two residues differ in the ligand binding pocket. Therefore, the mechanism of ligand selectivity has become an important issue in searching selective ligands of ER subtypes. In this study, steered molecular dynamics simulations were carried out to investigate the unbinding pathways of two selective ER beta ligands from the binding pocket of both ER alpha and ER beta, which demonstrated that the pathway between the H11 helix and the H7 similar to H8 loop was the most probable for ligand escaping. Then potentials of mean force for ligands unbinding along this pathway were calculated in order to gain insights into the molecular basis for energetics of ligand unbinding and find clues of ligand selectivity, The results indicated that His524/475 in ER alpha/ER beta acted as a gatekeeper during the ligand unbinding. Especially, the H7 similar to H8 loop of ER beta acted as a polar transmitter that controlled the ligand unbinding from the binding site and contributed to the ligand selectivity. Finally, the mechanism of ligand selectivity of ER subtypes was discussed from a kinetic perspective and suggestions for improving the ligand selectivity of ER beta were also presented. These findings could be helpful for rational design of highly selective ER beta ligands.

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