9F8Y
Crystal structure of a designed three-motif Respiratory Syncytial Virus immunogen
Summary for 9F8Y
| Entry DOI | 10.2210/pdb9f8y/pdb |
| Descriptor | RSVF-multi-3.5 designed scaffold (2 entities in total) |
| Functional Keywords | designed immunogen, specific binding, rsv f protein, de novo protein |
| Biological source | synthetic construct |
| Total number of polymer chains | 4 |
| Total formula weight | 67388.94 |
| Authors | Castro, K.M.,Correia, B.E. (deposition date: 2024-05-07, release date: 2025-05-21, Last modification date: 2025-12-17) |
| Primary citation | Castro, K.M.,Watson, J.L.,Wang, J.,Southern, J.,Ayardulabi, R.,Georgeon, S.,Rosset, S.,Baker, D.,Correia, B.E. Accurate single-domain scaffolding of three nonoverlapping protein epitopes using deep learning. Nat.Chem.Biol., 2025 Cited by PubMed Abstract: De novo protein design has seen major success in scaffolding single functional motifs; however, in nature, most proteins present multiple functional sites. Here, we describe an approach to simultaneously scaffold multiple functional sites in a single-domain protein using deep learning. We designed small single-domain immunogens, under 130 residues, that present three distinct and irregular motifs from respiratory syncytial virus. These motifs together comprise nearly half of the designed proteins; hence, the overall folds are quite unusual with little global similarity to proteins in the Protein Data Bank. Despite this, X-ray crystal structures confirmed the accuracy of presentation of each of the motifs and the multiepitope design yields improved cross-reactive titers and neutralizing response compared to a single-epitope immunogen. The successful presentation of three distinct binding surfaces in a small single-domain protein highlights the power of generative deep learning methods to solve complex protein design problems. PubMed: 41350440DOI: 10.1038/s41589-025-02083-z PDB entries with the same primary citation |
| Experimental method | X-RAY DIFFRACTION (2.3 Å) |
Structure validation
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