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8DA6

Coevolved affibody-Z domain pair LL1.c5

Summary for 8DA6
Entry DOI10.2210/pdb8da6/pdb
Related8DA3 8DA4 8DA5 8DA7 8DA8 8DA9 8DAA 8DAB 8DAC
DescriptorImmunoglobulin G-binding protein A, Affibody LL1.FIIM, ... (4 entities in total)
Functional Keywordsaffibody, protein binding
Biological sourceStaphylococcus aureus
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Total number of polymer chains4
Total formula weight31051.62
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 citationYang, 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: 37499032
DOI: 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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