Literature DB >> 35542636

Combined quantum mechanics/molecular mechanics (QM/MM) methods to understand the charge density distribution of estrogens in the active site of estrogen receptors.

C Kalaiarasi1, S Manjula1, P Kumaradhas1.   

Abstract

The ligand binding to protein and host-guest interactions are ubiquitous for molecular recognition. In drug design, the ligand binding to the active site of proteins is influenced by the charge density distribution and the electrostatic interactions of ligands and the nearby amino acids of the protein. The charge density analyses of ligand-protein complexes need accurate positions of hydrogen atoms and their valence electron distribution and the fine structure of proteins. Such information cannot be obtained from the conventional protein X-ray crystallography analysis in the resolution range of 1.5 to 3.5 Å. This can be realized from QM/MM based structure and charge density analysis of estrogens with the estrogen receptor. The charge density properties such as electron density, Laplacian of electron density and electrostatic properties of estrogens in the presence of active site amino acid residues have been determined and compared with the isolated estrogen molecules from theory and experimental. The present study reveals the chemical bonding nature of estrogen molecules and the strength of the intermolecular interactions in the active site of estrogen receptor, and also the importance of π⋯π interactions between the estrogens and Phe404 amino acid residue and protonation state of His524 amino acid residue have been identified using electrostatic potential maps. The difference in the electrostatic potential map of estrogens displays the hormone dependent actions of estrogen receptor. This method is very helpful to derive the charge density distribution of macromolecules to understand their biological recognition and interactions. This journal is © The Royal Society of Chemistry.

Entities:  

Year:  2019        PMID: 35542636      PMCID: PMC9076430          DOI: 10.1039/c9ra08607b

Source DB:  PubMed          Journal:  RSC Adv        ISSN: 2046-2069            Impact factor:   4.036


  43 in total

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2.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
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3.  Experimental and theoretical electron density study of estrone.

Authors:  Elizabeth A Zhurova; Chérif F Matta; Nan Wu; Vladimir V Zhurov; A Alan Pinkerton
Journal:  J Am Chem Soc       Date:  2006-07-12       Impact factor: 15.419

4.  Experimental charge density study of estrogens: 17beta-estradiol.urea.

Authors:  Damon Parrish; Elizabeth A Zhurova; Kristin Kirschbaum; A Alan Pinkerton
Journal:  J Phys Chem B       Date:  2006-12-28       Impact factor: 2.991

5.  Theoretical studies of enzymic reactions: dielectric, electrostatic and steric stabilization of the carbonium ion in the reaction of lysozyme.

Authors:  A Warshel; M Levitt
Journal:  J Mol Biol       Date:  1976-05-15       Impact factor: 5.469

6.  Topological analysis of electron density and the electrostatic properties of isoniazid: an experimental and theoretical study.

Authors:  Gnanasekaran Rajalakshmi; Venkatesha R Hathwar; Poomani Kumaradhas
Journal:  Acta Crystallogr B Struct Sci Cryst Eng Mater       Date:  2014-03-17

Review 7.  Defective DNA repair systems and the development of breast and prostate cancer (review).

Authors:  Yasuko Kitagishi; Mayumi Kobayashi; Satoru Matsuda
Journal:  Int J Oncol       Date:  2012-11-14       Impact factor: 5.650

8.  Charge Density and Electrostatic Potential Study of 16α,17β-Estriol and the Binding of Estrogen Molecules to the Estrogen Receptors ERα and ERβ.

Authors:  Elizabeth A Zhurova; Vladimir V Zhurov; Poomani Kumaradhas; Simone Cenedese; A Alan Pinkerton
Journal:  J Phys Chem B       Date:  2016-08-18       Impact factor: 2.991

9.  17Alpha-estradiol x 1/2 H2O: super-structural ordering, electronic properties, chemical bonding, and biological activity in comparison with other estrogens.

Authors:  Elizabeth A Zhurova; Vladimir V Zhurov; Deepak Chopra; Adam I Stash; A Alan Pinkerton
Journal:  J Am Chem Soc       Date:  2009-12-02       Impact factor: 15.419

10.  Estrogen Receptor Expression Is Associated with DNA Repair Capacity in Breast Cancer.

Authors:  Jaime Matta; Luisa Morales; Carmen Ortiz; Damian Adams; Wanda Vargas; Patricia Casbas; Julie Dutil; Miguel Echenique; Erick Suárez
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

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  1 in total

Review 1.  Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Authors:  Rohan Gupta; Devesh Srivastava; Mehar Sahu; Swati Tiwari; Rashmi K Ambasta; Pravir Kumar
Journal:  Mol Divers       Date:  2021-04-12       Impact factor: 3.364

  1 in total

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