4MG6

Crystal structure of hERa-LBD (Y537S) in complex with benzylbutylphtalate


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.10 Å
  • R-Value Free: 0.230 
  • R-Value Work: 0.176 
  • R-Value Observed: 0.179 

Starting Model: experimental
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Ligand Structure Quality Assessment 


This is version 1.4 of the entry. See complete history


Literature

Structural and functional profiling of environmental ligands for estrogen receptors.

Delfosse, V.Grimaldi, M.Cavailles, V.Balaguer, P.Bourguet, W.

(2014) Environ Health Perspect 122: 1306-1313

  • DOI: https://doi.org/10.1289/ehp.1408453
  • Primary Citation of Related Structures:  
    4MG5, 4MG6, 4MG7, 4MG8, 4MG9, 4MGA, 4MGB, 4MGC, 4MGD

  • PubMed Abstract: 

    Individuals are exposed daily to environmental pollutants that may act as endocrine-disrupting chemicals (EDCs), causing a range of developmental, reproductive, metabolic, or neoplastic diseases. With their mostly hydrophobic pocket that serves as a docking site for endogenous and exogenous ligands, nuclear receptors (NRs) can be primary targets of small molecule environmental contaminants. However, most of these compounds are chemically unrelated to natural hormones, so their binding modes and associated hormonal activities are hardly predictable. We conducted a correlative analysis of structural and functional data to gain insight into the mechanisms by which 12 members of representative families of pollutants bind to and activate the estrogen receptors ERα and ERβ. We used a battery of biochemical, structural, biophysical, and cell-based approaches to characterize the interaction between ERs and their environmental ligands. Our study revealed that the chemically diverse compounds bound to ERs via varied sets of protein-ligand interactions, reflecting their differential activities, binding affinities, and specificities. We observed xenoestrogens binding to both ERs-with affinities ranging from subnanomolar to micromolar values-and acting in a subtype-dependent fashion as full agonists or partial agonists/antagonists by using different combinations of the activation functions 1 and 2 of ERα and ERβ. The precise characterization of the interactions between major environmental pollutants and two of their primary biological targets provides rational guidelines for the design of safer chemicals, and will increase the accuracy and usefulness of structure-based computational methods, allowing for activity prediction of chemicals in risk assessment.


  • Organizational Affiliation

    Inserm (Institut national de la santé et de la recherche médicale) U1054, Montpellier, France.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Estrogen receptor
A, B
255Homo sapiensMutation(s): 1 
Gene Names: ESRESR1NR3A1
UniProt & NIH Common Fund Data Resources
Find proteins for P03372 (Homo sapiens)
Explore P03372 
Go to UniProtKB:  P03372
PHAROS:  P03372
GTEx:  ENSG00000091831 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP03372
Sequence Annotations
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  • Reference Sequence

Find similar proteins by:  Sequence   |   3D Structure  

Entity ID: 2
MoleculeChains Sequence LengthOrganismDetailsImage
Nuclear receptor coactivator 1
C, D
13Homo sapiensMutation(s): 0 
UniProt & NIH Common Fund Data Resources
Find proteins for Q15788 (Homo sapiens)
Explore Q15788 
Go to UniProtKB:  Q15788
PHAROS:  Q15788
GTEx:  ENSG00000084676 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupQ15788
Sequence Annotations
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  • Reference Sequence
Small Molecules
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.10 Å
  • R-Value Free: 0.230 
  • R-Value Work: 0.176 
  • R-Value Observed: 0.179 
  • Space Group: P 1 21 1
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 54.483α = 90
b = 81.236β = 110.02
c = 58.49γ = 90
Software Package:
Software NamePurpose
CBASSdata collection
PHENIXmodel building
PHENIXrefinement
MOSFLMdata reduction
SCALAdata scaling
PHENIXphasing

Structure Validation

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Ligand Structure Quality Assessment 


Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2014-09-03
    Type: Initial release
  • Version 1.1: 2014-10-08
    Changes: Database references
  • Version 1.2: 2014-12-17
    Changes: Database references
  • Version 1.3: 2023-09-20
    Changes: Data collection, Database references, Derived calculations, Refinement description
  • Version 1.4: 2023-12-06
    Changes: Data collection