8T6N
Crystal structure of T33-27.1: Deep-learning sequence design of co-assembling tetrahedron protein nanoparticles
Summary for 8T6N
Entry DOI | 10.2210/pdb8t6n/pdb |
Descriptor | T33-27.1 : B, T33-27.1 : A (2 entities in total) |
Functional Keywords | deep-learning, de novo design, proteinmpnn, rosetta, tetrahedrons, de novo protein |
Biological source | synthetic construct More |
Total number of polymer chains | 9 |
Total formula weight | 163765.76 |
Authors | Bera, A.K.,de Haas, R.J.,Kang, A.,Sankaran, B.,King, N.P. (deposition date: 2023-06-16, release date: 2024-04-24) |
Primary citation | de Haas, R.J.,Brunette, N.,Goodson, A.,Dauparas, J.,Yi, S.Y.,Yang, E.C.,Dowling, Q.,Nguyen, H.,Kang, A.,Bera, A.K.,Sankaran, B.,de Vries, R.,Baker, D.,King, N.P. Rapid and automated design of two-component protein nanomaterials using ProteinMPNN. Proc.Natl.Acad.Sci.USA, 121:e2314646121-e2314646121, 2024 Cited by PubMed: 38502697DOI: 10.1073/pnas.2314646121 PDB entries with the same primary citation |
Experimental method | X-RAY DIFFRACTION (3.63 Å) |
Structure validation
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