9Q2D image
Deposition Date 2025-08-15
Release Date 2025-10-01
Last Version Date 2025-10-22
Entry Detail
PDB ID:
9Q2D
Keywords:
Title:
Cryo-EM structure of ternary complex Ikaros-ZF2:CC-885:CRBN:DDB1 (molecular glue degrader)
Biological Source:
Source Organism:
Homo sapiens (Taxon ID: 9606)
Host Organism:
Method Details:
Experimental Method:
Resolution:
2.94 Å
Aggregation State:
PARTICLE
Reconstruction Method:
SINGLE PARTICLE
Macromolecular Entities
Structures with similar UniProt ID
Protein Blast
Polymer Type:polypeptide(L)
Molecule:DNA-binding protein Ikaros
Gene (Uniprot):IKZF1
Chain IDs:A
Chain Length:87
Number of Molecules:1
Biological Source:Homo sapiens
Structures with similar UniProt ID
Protein Blast
Polymer Type:polypeptide(L)
Molecule:Protein cereblon
Gene (Uniprot):CRBN
Chain IDs:B
Chain Length:467
Number of Molecules:1
Biological Source:Homo sapiens
Structures with similar UniProt ID
Protein Blast
Polymer Type:polypeptide(L)
Molecule:DNA damage-binding protein 1
Gene (Uniprot):DDB1
Chain IDs:C
Chain Length:836
Number of Molecules:1
Biological Source:Homo sapiens
Primary Citation
Application of Weighted Interaction-Fingerprints for Rationalizing Neosubstrate Potency and Selectivity of Cereblon-Based Molecular Glues.
J.Med.Chem. 68 20657 20674 (2025)
PMID: 40994183 DOI: 10.1021/acs.jmedchem.5c01919

Abstact

Cullin-RING Ligase 4 Cereblon (CRL4CRBN) (CRBN) E3 ligase modulatory drugs (CELMoDsTM) make up a successful class of compounds targeting neosubstrates for proteasome-dependent degradation. Early immunomodulatory drugs (IMiDsTM) target Ikaros and Aiolos degradation. In addition, there are ongoing clinical trials targeting the degradation of biologically relevant proteins such as GSPT1, CK1α, and Helios with CRBN-based molecular glues. To date, most advanced preclinical and clinical CRBN-based molecular glues recruit their neosubstrates through canonical G-motifs, secondary protein features that are structurally similar but have significantly different amino acid sequence identities. Analogous to the development of kinase inhibitors, optimizing both neosubstrate recruitment and degradation selectivity is important to minimize potential off-target activity. Here, we describe a computational structure-based approach to analyze and predict putative ligand interactions important in the neosubstrate ternary complex. This approach provides valuable insights for enhanced designs toward the development of more selective and efficacious CRBN-based molecular glues.

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Primary Citation of related structures
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