Literature DB >> 19583238

Computational insights into the mechanism of ligand unbinding and selectivity of estrogen receptors.

Jie Shen1, Weihua Li, Guixia Liu, Yun Tang, Hualiang Jiang.   

Abstract

Estrogen receptors (ER) belong to the nuclear receptor superfamily, and two subtypes, ERalpha and ERbeta, have been identified to date. The differentiated functions and receptor expressions of ERalpha and ERbeta 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 ERbeta ligands from the binding pocket of both ERalpha and ERbeta, which demonstrated that the pathway between the H11 helix and the H7 approximately 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 ERalpha/ERbeta acted as a "gatekeeper" during the ligand unbinding. Especially, the H7 approximately H8 loop of ERbeta 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 ERbeta were also presented. These findings could be helpful for rational design of highly selective ERbeta ligands.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19583238     DOI: 10.1021/jp903785h

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  7 in total

1.  Dynamics of nuclear receptor Helix-12 switch of transcription activation by modeling time-resolved fluorescence anisotropy decays.

Authors:  Mariana R B Batista; Leandro Martínez
Journal:  Biophys J       Date:  2013-10-01       Impact factor: 4.033

2.  In silico analysis of the histaprodifen induced activation pathway of the guinea-pig histamine H(1)-receptor.

Authors:  Andrea Strasser; Hans-Joachim Wittmann
Journal:  J Comput Aided Mol Des       Date:  2010-07-07       Impact factor: 3.686

3.  Structure of estradiol metal chelate and estrogen receptor complex: the basis for designing a new class of selective estrogen receptor modulators.

Authors:  Min-Jun Li; Harry M Greenblatt; Orly Dym; Shira Albeck; Adi Pais; Chidambaram Gunanathan; David Milstein; Hadassa Degani; Joel L Sussman
Journal:  J Med Chem       Date:  2011-04-19       Impact factor: 7.446

4.  Molecular dynamics simulations suggest that electrostatic funnel directs binding of Tamiflu to influenza N1 neuraminidases.

Authors:  Ly Le; Eric H Lee; David J Hardy; Thanh N Truong; Klaus Schulten
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

5.  Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes.

Authors:  Jie Shen; Wenqian Zhang; Hong Fang; Roger Perkins; Weida Tong; Huixiao Hong
Journal:  BMC Bioinformatics       Date:  2013-10-09       Impact factor: 3.169

6.  Selective ligands of estrogen receptor β discovered using pharmacophore mapping and structure-based virtual screening.

Authors:  Lei Chen; Dang Wu; Han-ping Bian; Guang-lin Kuang; Jing Jiang; Wei-hua Li; Gui-xia Liu; Shi-en Zou; Jin Huang; Yun Tang
Journal:  Acta Pharmacol Sin       Date:  2014-09-01       Impact factor: 6.150

7.  A Self-Adaptive Steered Molecular Dynamics Method Based on Minimization of Stretching Force Reveals the Binding Affinity of Protein-Ligand Complexes.

Authors:  Junfeng Gu; Hongxia Li; Xicheng Wang
Journal:  Molecules       Date:  2015-10-22       Impact factor: 4.411

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.