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8VC8

Crystal structure of heme-loaded design: HEM_3.C9

Summary for 8VC8
Entry DOI10.2210/pdb8vc8/pdb
DescriptorHEM_3.C9, SULFATE ION, PROTOPORPHYRIN IX CONTAINING FE, ... (4 entities in total)
Functional Keywordsde novo design, rfdiffusion, alphafold2, rosettafold, de novo protein
Biological sourcesynthetic construct
Total number of polymer chains1
Total formula weight22852.18
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 citationKrishna, 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: 38452047
DOI: 10.1126/science.adl2528
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (1.8 Å)
Structure validation

237735

数据于2025-06-18公开中

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