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8BL6

De novo single-chain immunoglobulin dimer scIg12+EF3a

Summary for 8BL6
Entry DOI10.2210/pdb8bl6/pdb
Related8BL3
DescriptordIG14-scdim-EF62, GLYCEROL, TERBIUM(III) ION (3 entities in total)
Functional Keywordsde novo, immunoglobulin, single-chain dimer, sandwich, beta, ef-hand, de novo protein
Biological sourcesynthetic construct
Total number of polymer chains1
Total formula weight20710.08
Authors
Nadal, M.,Roel-Touris, J.,Marcos, E. (deposition date: 2022-11-09, release date: 2023-10-04)
Primary citationRoel-Touris, J.,Nadal, M.,Marcos, E.
Single-chain dimers from de novo immunoglobulins as robust scaffolds for multiple binding loops.
Nat Commun, 14:5939-5939, 2023
Cited by
PubMed Abstract: Antibody derivatives have sought to recapitulate the antigen binding properties of antibodies, but with improved biophysical attributes convenient for therapeutic, diagnostic and research applications. However, their success has been limited by the naturally occurring structure of the immunoglobulin dimer displaying hypervariable binding loops, which is hard to modify by traditional engineering approaches. Here, we devise geometrical principles for de novo designing single-chain immunoglobulin dimers, as a tunable two-domain architecture that optimizes biophysical properties through more favorable dimer interfaces. Guided by these principles, we computationally designed protein scaffolds that were hyperstable, structurally accurate and robust for accommodating multiple functional loops, both individually and in combination, as confirmed through biochemical assays and X-ray crystallography. We showcase the modularity of this architecture by deep-learning-based diversification, opening up the possibility for tailoring the number, positioning, and relative orientation of ligand-binding loops targeting one or two distal epitopes. Our results provide a route to custom-design robust protein scaffolds for harboring multiple functional loops.
PubMed: 37741853
DOI: 10.1038/s41467-023-41717-5
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (2.8 Å)
Structure validation

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数据于2025-12-17公开中

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