JOURNAL ARTICLE

Binding interactions of EDCs to human estrogen‐related receptor gamma deciphered by multiple molecular dynamics and energy calculations.

  • Published In: International Journal of Quantum Chemistry, 2024, v. 124, n. 1. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Yang, Jiawen; Chen, Lin; Huang, Xu; Zhao, Bing; Wang, Ruige 3 of 3

Abstract

Dichloro‐diphenyl‐trichloroethane (DDT) analogs, classified as environmental endocrine disrupting compounds (EDCs), have been extensively employed as potent insecticides that can cause endocrine system disruption. However, the precise dynamic structural characteristics and interactions between human estrogen‐related receptor gamma (hERRγ) and DDT analogs are not yet fully understood. In this study, we comprehensively investigate the impact of these EDCs (DDT, dichloro‐diphenyl‐dichloroethane (DDD), 2,2‐bis(4‐chlorophenyl)ethanol (DDOH), O,P′‐DDT (2,4′‐DDT), 4,4′‐dichlorobenzophenone (DCBP), and 4‐hydrotamoxifen (4‐OHT) on the structural changes of hERRγ and their interaction mechanisms by employing multiple molecular dynamics (MD) simulations coupled with MM‐PBSA and SIE approaches. The consequence manifested that overall structures of these six complexes did not transform markedly, but these compounds can affect the local hERRγ structure, leading to essential changes in interactions with pivotal residues nearby L268, V313, L309, Y326, and F435. And van der Waals interactions are the key to how these EDCs interact with hERRγ. These outcomes contribute to our comprehension the risks of DDT analogues to human health. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Quantum Chemistry. 2024/01, Vol. 124, Issue 1, p1
  • Document Type:Article
  • Subject Area:Agriculture and Agribusiness
  • Publication Date:2024
  • ISSN:0020-7608
  • DOI:10.1002/qua.27333
  • Accession Number:174636166
  • Copyright Statement:Copyright of International Journal of Quantum Chemistry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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