Info
ModelAngelo is an automated model building and protein identification tool for cryo-EM maps. Uses machine learning to build atomic models and identify proteins directly from density maps without requiring a starting sequence. Developed in Sjors Scheres’s group at MRC-LMB, integrated into RELION-5. Published in Nature 2024.
People
| Name | Role | Affiliation |
|---|---|---|
| Kiarash Jamali | Lead developer | MRC-LMB Cambridge |
| Sjors Scheres | PI | MRC-LMB Cambridge |
| Dari Kimanius | Contributor | MRC-LMB |
Key Relationships
- Integrated into RELION-5 tomography pipeline
- Competes with PHENIX auto-build tools and Coot for model building
- Models deposited in RCSB PDB / PDBe
- Represents the growing role of ML/AI in structure determination
Key Reference
Jamali et al., Nature 628, 450-457 (2024)