8VC8
Crystal structure of heme-loaded design: HEM_3.C9
Summary for 8VC8
Entry DOI | 10.2210/pdb8vc8/pdb |
Descriptor | HEM_3.C9, SULFATE ION, PROTOPORPHYRIN IX CONTAINING FE, ... (4 entities in total) |
Functional Keywords | de novo design, rfdiffusion, alphafold2, rosettafold, de novo protein |
Biological source | synthetic construct |
Total number of polymer chains | 1 |
Total formula weight | 22852.18 |
Authors | Kalvet, I.,Bera, A.K.,Baker, D. (deposition date: 2023-12-13, release date: 2024-03-20, Last modification date: 2024-05-01) |
Primary citation | Krishna, R.,Wang, J.,Ahern, W.,Sturmfels, P.,Venkatesh, P.,Kalvet, I.,Lee, G.R.,Morey-Burrows, F.S.,Anishchenko, I.,Humphreys, I.R.,McHugh, R.,Vafeados, D.,Li, X.,Sutherland, G.A.,Hitchcock, A.,Hunter, C.N.,Kang, A.,Brackenbrough, E.,Bera, A.K.,Baek, M.,DiMaio, F.,Baker, D. Generalized biomolecular modeling and design with RoseTTAFold All-Atom. Science, 384:eadl2528-eadl2528, 2024 Cited by PubMed Abstract: Deep learning methods have revolutionized protein structure prediction and design but are currently limited to protein-only systems. We describe RoseTTAFold All-Atom (RFAA) which combines a residue-based representation of amino acids and DNA bases with an atomic representation of all other groups to model assemblies containing proteins, nucleic acids, small molecules, metals, and covalent modifications given their sequences and chemical structures. By fine tuning on denoising tasks we obtain RFdiffusionAA, which builds protein structures around small molecules. Starting from random distributions of amino acid residues surrounding target small molecules, we design and experimentally validate, through crystallography and binding measurements, proteins that bind the cardiac disease therapeutic digoxigenin, the enzymatic cofactor heme, and the light harvesting molecule bilin. PubMed: 38452047DOI: 10.1126/science.adl2528 PDB entries with the same primary citation |
Experimental method | X-RAY DIFFRACTION (1.8 Å) |
Structure validation
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