8UMP
T33-ml35 - Designed Tetrahedral Protein Cage Using Machine Learning Algorithms
Summary for 8UMP
Entry DOI | 10.2210/pdb8ump/pdb |
EMDB information | 42381 |
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 | 2 |
Total formula weight | 27881.62 |
Authors | Castells-Graells, R.,Meador, K.,Sawaya, M.R.,Yeates, T.O. (deposition date: 2023-10-18, release date: 2023-11-15, Last modification date: 2024-06-19) |
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, 32:751-765.e11, 2024 Cited by PubMed: 38513658DOI: 10.1016/j.str.2024.02.017 PDB entries with the same primary citation |
Experimental method | ELECTRON MICROSCOPY (2.92 Å) |
Structure validation
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