7Y8G

Estrogen Receptor Alpha Ligand Binding Domain Y537S Mutant in Complex with an Inhibitor 30a and GRIP Peptide


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.14 Å
  • R-Value Free: 0.248 
  • R-Value Work: 0.185 
  • R-Value Observed: 0.188 

Starting Model: experimental
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Ligand Structure Quality Assessment 


This is version 1.2 of the entry. See complete history


Literature

Structure-guided identification of novel dual-targeting estrogen receptor alpha degraders with aromatase inhibitory activity for the treatment of endocrine-resistant breast cancer.

Xin, L.Min, J.Hu, H.Li, Y.Du, C.Xie, B.Cheng, Y.Deng, X.Deng, X.Shen, K.Huang, J.Chen, C.C.Guo, R.T.Dong, C.Zhou, H.B.

(2023) Eur J Med Chem 253: 115328-115328

  • DOI: https://doi.org/10.1016/j.ejmech.2023.115328
  • Primary Citation of Related Structures:  
    7Y8F, 7Y8G

  • PubMed Abstract: 

    Drug resistance is a major challenge in conventional endocrine therapy for estrogen receptor (ER) positive breast cancer (BC). BC is a multifactorial disease, in which simultaneous aromatase (ARO) inhibition and ERα degradation may effectively inhibit the signal transduction of both proteins, thus potentially overcoming drug resistance caused by overexpression or mutation of target proteins. In this study, guided by the X-ray structure of a hit compound 30a in complex with ER-Y537S, a structure-based optimization was performed to get a series of multiacting inhibitors targeting both ERα and ARO, and finally a novel class of potent selective estrogen receptor degraders (SERDs) based on a three-dimensional oxabicycloheptene sulfonamide (OBHSA) scaffold equipped with aromatase inhibitor (AI) activity were identified. Of these dual-targeting SERD-AI hybrids, compound 31q incorporating a 1H-1,2,4-triazole moiety showed excellent ERα degradation activity, ARO inhibitory activity and remarkable antiproliferative activity against BC resistant cells. Furthermore, 31q manifested efficient tumor suppression in MCF-7 tumor xenograft models. Taken together, our study reported for the first time the highly efficient dual-targeting SERD-AI hybrid compounds, which may lay the foundation of translational research for improved treatment of endocrine-resistant BC.


  • Organizational Affiliation

    Department of Gynecological Oncology, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan, 430071, China.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Estrogen receptorA,
C [auth B]
260Homo sapiensMutation(s): 1 
Gene Names: ESR1ESRNR3A1
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
Grip peptideB [auth C],
D
8Homo sapiensMutation(s): 0 
EC: 2.3.1.48
UniProt & NIH Common Fund Data Resources
Find proteins for Q15788 (Homo sapiens)
Explore Q15788 
Go to UniProtKB:  Q15788
PHAROS:  Q15788
GTEx:  ENSG00000084676 
Entity Groups  
UniProt GroupQ15788
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.14 Å
  • R-Value Free: 0.248 
  • R-Value Work: 0.185 
  • R-Value Observed: 0.188 
  • Space Group: C 2 2 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 52.631α = 90
b = 101.862β = 90
c = 195.79γ = 90
Software Package:
Software NamePurpose
REFMACrefinement
SADABSdata scaling
PDB_EXTRACTdata extraction
SAINTdata reduction
PHASERphasing

Structure Validation

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Ligand Structure Quality Assessment 


Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
National Natural Science Foundation of China (NSFC)China82103994

Revision History  (Full details and data files)

  • Version 1.0: 2023-04-26
    Type: Initial release
  • Version 1.1: 2023-05-24
    Changes: Structure summary
  • Version 1.2: 2023-11-29
    Changes: Data collection, Refinement description