8UMR
T33-ml35 Assembly Intermediate - Designed Tetrahedral Protein Cage Using Machine Learning Algorithms
This is a non-PDB format compatible entry.
Summary for 8UMR
| Entry DOI | 10.2210/pdb8umr/pdb |
| EMDB information | 42382 |
| Descriptor | T33-ml35-redesigned-TPR-domain-fold, T33-ml35-redesigned-CutA-fold (2 entities in total) |
| Functional Keywords | nanohedra, protein cage, tetrahedral, de novo protein interface, machine learning, two components, proteinmpnn, nanoparticle, de novo protein |
| Biological source | synthetic construct More |
| Total number of polymer chains | 21 |
| Total formula weight | 293907.96 |
| Authors | Castells-Graells, R.,Meador, K.,Sawaya, M.R.,Yeates, T.O. (deposition date: 2023-10-18, release date: 2024-03-06, Last modification date: 2024-04-03) |
| Primary citation | Meador, K.,Castells-Graells, R.,Aguirre, R.,Sawaya, M.R.,Arbing, M.A.,Sherman, T.,Senarathne, C.,Yeates, T.O. A suite of designed protein cages using machine learning and protein fragment-based protocols. Structure, 2024 Cited by PubMed: 38513658DOI: 10.1016/j.str.2024.02.017 PDB entries with the same primary citation |
| Experimental method | ELECTRON MICROSCOPY (4.42 Å) |
Structure validation
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