8F4X
Top-down design of protein architectures with reinforcement learning
Summary for 8F4X
Entry DOI | 10.2210/pdb8f4x/pdb |
EMDB information | 28858 |
Descriptor | RC_I_1-H11 (1 entity in total) |
Functional Keywords | nanoparticle, capsid, oligomer, de novo design, rosetta, cryoem, de novo protein, reinforcement learning |
Biological source | synthetic construct |
Total number of polymer chains | 60 |
Total formula weight | 465897.72 |
Authors | Borst, A.J.,Baker, D. (deposition date: 2022-11-11, release date: 2023-05-10, Last modification date: 2024-06-19) |
Primary citation | Lutz, I.D.,Wang, S.,Norn, C.,Courbet, A.,Borst, A.J.,Zhao, Y.T.,Dosey, A.,Cao, L.,Xu, J.,Leaf, E.M.,Treichel, C.,Litvicov, P.,Li, Z.,Goodson, A.D.,Rivera-Sanchez, P.,Bratovianu, A.M.,Baek, M.,King, N.P.,Ruohola-Baker, H.,Baker, D. Top-down design of protein architectures with reinforcement learning. Science, 380:266-273, 2023 Cited by PubMed: 37079676DOI: 10.1126/science.adf6591 PDB entries with the same primary citation |
Experimental method | ELECTRON MICROSCOPY (3.01 Å) |
Structure validation
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