8DA6
Coevolved affibody-Z domain pair LL1.c5
Summary for 8DA6
Entry DOI | 10.2210/pdb8da6/pdb |
Related | 8DA3 8DA4 8DA5 8DA7 8DA8 8DA9 8DAA 8DAB 8DAC |
Descriptor | Immunoglobulin G-binding protein A, Affibody LL1.FIIM, ... (4 entities in total) |
Functional Keywords | affibody, protein binding |
Biological source | Staphylococcus aureus More |
Total number of polymer chains | 4 |
Total formula weight | 31051.62 |
Authors | Jude, K.M.,Yang, A.,Garcia, K.C. (deposition date: 2022-06-13, release date: 2023-07-26, Last modification date: 2023-08-09) |
Primary citation | Yang, A.,Jude, K.M.,Lai, B.,Minot, M.,Kocyla, A.M.,Glassman, C.R.,Nishimiya, D.,Kim, Y.S.,Reddy, S.T.,Khan, A.A.,Garcia, K.C. Deploying synthetic coevolution and machine learning to engineer protein-protein interactions. Science, 381:eadh1720-eadh1720, 2023 Cited by PubMed Abstract: Fine-tuning of protein-protein interactions occurs naturally through coevolution, but this process is difficult to recapitulate in the laboratory. We describe a platform for synthetic protein-protein coevolution that can isolate matched pairs of interacting muteins from complex libraries. This large dataset of coevolved complexes drove a systems-level analysis of molecular recognition between Z domain-affibody pairs spanning a wide range of structures, affinities, cross-reactivities, and orthogonalities, and captured a broad spectrum of coevolutionary networks. Furthermore, we harnessed pretrained protein language models to expand, in silico, the amino acid diversity of our coevolution screen, predicting remodeled interfaces beyond the reach of the experimental library. The integration of these approaches provides a means of simulating protein coevolution and generating protein complexes with diverse molecular recognition properties for biotechnology and synthetic biology. PubMed: 37499032DOI: 10.1126/science.adh1720 PDB entries with the same primary citation |
Experimental method | X-RAY DIFFRACTION (1.5 Å) |
Structure validation
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