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Computational biochemical investigation of the binding energy interactions between an estrogen receptor and its agonists

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Abstract

In this work we describe the profiles of the estrogen receptor ERα, the most common type of hormone receptor on breast cells, in terms of its total binding energy in the presence of its full agonist ligands, endogenous 17β-estradiol and synthetic diethylstilbestrol, which are responsible for a large percentage of all breast cancers. The X-ray crystallographic structures of ERα in complexes with both agonists are considered, and the electrostatically embedded molecular fractionation with conjugate caps (EE-MFCC) scheme is applied within a dispersion-corrected density functional theory (DFT-D) framework, taking into account the B97D/cc-pVTZ level of theory. Our quantum chemical computational results show that the total binding energy of both agonists to the ERα ligand-pocket, with radius varying from 2.0 to 12.5 Å, is well correlated with the experimental agonist binding affinity. In addition, we found that the most significant contributions to the total binding energy of the receptor–endogenous (synthetic) ligand complexes are mainly due to 12 (14) amino acid residues. Finally, we predict the energetic relevance of the estradiol and diethylstilbestrol regions, as well as the influence of each protein segment on ERα–agonist binding. This information is important for helping to decide whether or not the cancer is likely to respond to either endocrine therapy or other clinical treatments.

Graphical abstract: Computational biochemical investigation of the binding energy interactions between an estrogen receptor and its agonists

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Publication details

The article was received on 14 Jul 2018, accepted on 15 Oct 2018 and first published on 18 Oct 2018


Article type: Paper
DOI: 10.1039/C8NJ03521K
Citation: New J. Chem., 2018, Advance Article
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    Computational biochemical investigation of the binding energy interactions between an estrogen receptor and its agonists

    A. H. Lima Costa, W. S. Clemente, K. S. Bezerra, J. X. Lima Neto, E. L. Albuquerque and U. L. Fulco, New J. Chem., 2018, Advance Article , DOI: 10.1039/C8NJ03521K

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