5KRL image
Entry Detail
PDB ID:
5KRL
Keywords:
Title:
Crystal Structure of the ER-alpha Ligand-binding Domain (Y537S) in Complex with the A-CD ring estrogen, (1S,7aS)-5-(2-chloro-4-hydroxyphenyl)-7a-methyl-2,3,3a,4,7,7a-hexahydro-1H-inden-1-ol
Biological Source:
Source Organism:
Host Organism:
PDB Version:
Deposition Date:
2016-07-07
Release Date:
2017-01-18
Method Details:
Experimental Method:
Resolution:
2.40 Å
R-Value Free:
0.21
R-Value Work:
0.18
R-Value Observed:
0.18
Space Group:
P 1 21 1
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:Estrogen receptor
Mutations:Y537S
Chain IDs:A, B
Chain Length:257
Number of Molecules:2
Biological Source:Homo sapiens
Polymer Type:polypeptide(L)
Description:NCOA2
Chain IDs:C, D
Chain Length:14
Number of Molecules:2
Biological Source:Homo sapiens
Ligand Molecules
Primary Citation
Systems Structural Biology Analysis of Ligand Effects on ER alpha Predicts Cellular Response to Environmental Estrogens and Anti-hormone Therapies.
Cell Chem Biol 24 35 45 (2017)
PMID: 28042045 DOI: 10.1016/j.chembiol.2016.11.014

Abstact

Environmental estrogens and anti-hormone therapies for breast cancer have diverse tissue- and signaling-pathway-selective outcomes, but how estrogen receptor alpha (ERα) mediates this phenotypic diversity is poorly understood. We implemented a statistical approach to allow unbiased, parallel analyses of multiple crystal structures, and identified subtle perturbations of ERα structure by different synthetic and environmental estrogens. Many of these perturbations were in the sub-Å range, within the noise of the individual structures, but contributed significantly to the activities of synthetic and environmental estrogens. Combining structural perturbation data from many structures with quantitative cellular activity profiles of the ligands enabled identification of structural rules for ligand-specific allosteric signaling-predicting activity from structure. This approach provides a framework for understanding the diverse effects of environmental estrogens and for guiding iterative medicinal chemistry efforts to generate improved breast cancer therapies, an approach that can be applied to understanding other ligand-regulated allosteric signaling pathways.

Legend

Protein

Chemical

Disease

Primary Citation of related structures