7O7B image
Deposition Date 2021-04-13
Release Date 2021-09-29
Last Version Date 2024-06-19
Entry Detail
PDB ID:
7O7B
Title:
Solution NMR Structure of the Neh1 Domain of Human Nuclear factor erythroid 2-related factor 2 (NRF2)
Biological Source:
Source Organism:
Homo sapiens (Taxon ID: 9606)
Host Organism:
Method Details:
Experimental Method:
Conformers Calculated:
100
Conformers Submitted:
20
Selection Criteria:
structures with the lowest energy
Macromolecular Entities
Polymer Type:polypeptide(L)
Molecule:Isoform 3 of Nuclear factor erythroid 2-related factor 2
Gene (Uniprot):NFE2L2
Chain IDs:A
Chain Length:81
Number of Molecules:1
Biological Source:Homo sapiens
Ligand Molecules
Primary Citation
A Step toward NRF2-DNA Interaction Inhibitors by Fragment-Based NMR Methods.
Chemmedchem 16 3576 3587 (2021)
PMID: 34524728 DOI: 10.1002/cmdc.202100458

Abstact

The NRF2 transcription factor is a key regulator in cellular oxidative stress response, and acts as a tumor suppressor. Aberrant activation of NRF2 has been implicated in promoting chemo-resistance, tumor growth, and metastasis by activating its downstream target genes. Hence, inhibition of NRF2 promises to be an attractive therapeutic strategy to suppress cell proliferation and enhance cell apoptosis in cancer. Direct targeting of NRF2 with small-molecules to discover protein-DNA interaction inhibitors is challenging as it is a largely intrinsically disordered protein. To discover molecules that bind to NRF2 at the DNA binding interface, we performed an NMR-based fragment screen against its DNA-binding domain. We discovered several weakly binding fragment hits that bind to a region overlapping with the DNA binding site. Using SAR by catalogue we developed an initial structure-activity relationship for the most interesting initial hit series. By combining NMR chemical shift perturbations and data-driven docking, binding poses which agreed with NMR information and the observed SAR were elucidated. The herein discovered NRF2 hits and proposed binding modes form the basis for future structure-based optimization campaigns on this important but to date 'undrugged' cancer driver.

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Primary Citation of related structures