Literature DB >> 30851383

Structural and energetic basis for novel epicatechin derivatives acting as GPER agonists through the MMGBSA method.

Martiniano Bello1, David Méndez-Luna2, Viviana Sarmiento3, José Correa Basurto2, Nayelli Najera4, Francisco Villarreal5, Guillermo Ceballos4.   

Abstract

(-)-Epicatechin (Epi) has been demonstrated to activate pathways involved in GPER-stimulated nitric oxide (NO) production via endothelial NO synthase, known as the eNOS/NO pathway. Previous studies combining synthesis of four Epi derivatives demonstrated that Epi and Epi-prop, Epi-4-prop and Epi-5-prop were able to bind GPER by acting as GPER agonists, whereas docking studies allowed observation of structural details of the binding of these derivatives at the GPER binding site. However, due to the nature of past studies, the theoretical methods employed did not allow observation of structural and energetic details linked to ligand binding at the GPER binding site. In this contribution, we explore the structural and energetic changes coupling the binding of Epi and its four derivatives to GPER. To this end, MD simulations on the microsecond scale (1 μs) with an MMGBSA approach were used for each GPER-ligand complex. Energetic analysis demonstrated that incorporation of several aliphatic chains to Epi contributed to increasing the affinity towards the GPER binding site, thus helping to explain the experimental evidence. Structural analysis demonstrated that Epi, Epi-4-prop and Epi-5-prop share more similar interactions at GPER binding sites with similar conformational behavior than with Epi-prop and Epi-Ms. However, Epi-prop had additional residues that could explain its different but related biological effects.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Epicatechin; GPER; MMGBSA; Molecular dynamics simulations; Principal component analysis

Mesh:

Substances:

Year:  2019        PMID: 30851383     DOI: 10.1016/j.jsbmb.2019.03.006

Source DB:  PubMed          Journal:  J Steroid Biochem Mol Biol        ISSN: 0960-0760            Impact factor:   4.292


  2 in total

Review 1.  Computational Approaches for the Discovery of GPER Targeting Compounds.

Authors:  Fedora Grande; Maria A Occhiuzzi; Rosamaria Lappano; Francesca Cirillo; Rita Guzzi; Antonio Garofalo; Yves Jacquot; Marcello Maggiolini; Bruno Rizzuti
Journal:  Front Endocrinol (Lausanne)       Date:  2020-08-04       Impact factor: 5.555

2.  Based on the Virtual Screening of Multiple Pharmacophores, Docking and Molecular Dynamics Simulation Approaches toward the Discovery of Novel HPPD Inhibitors.

Authors:  Ying Fu; Tong Ye; Yong-Xuan Liu; Jian Wang; Fei Ye
Journal:  Int J Mol Sci       Date:  2020-08-03       Impact factor: 5.923

  2 in total

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