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8UQF

Crystal structure of designed cortisol-binding protein hcy129_mpnn5

Summary for 8UQF
Entry DOI10.2210/pdb8uqf/pdb
Descriptordesigned cortisol-binding protein hcy129_mpnn5, (11alpha,14beta)-11,17,21-trihydroxypregn-4-ene-3,20-dione, SULFATE ION, ... (4 entities in total)
Functional Keywordsntf2, cortisol binding, de novo protein
Biological sourcesynthetic construct
Total number of polymer chains2
Total formula weight31633.83
Authors
Pellock, S.J.,Bera, A. (deposition date: 2023-10-23, release date: 2024-11-20, Last modification date: 2026-07-08)
Primary citationLee, G.R.,Pellock, S.J.,Norn, C.,Tischer, D.,Dauparas, J.,Anishchenko, I.,Mercer, J.A.M.,Kang, A.,Bera, A.K.,Nguyen, H.,Brackenbrough, E.,Sankaran, B.,Goreshnik, I.,Vafeados, D.,Roullier, N.,Han, H.L.,Coventry, B.,Haddox, H.K.,Liu, D.R.,Yeh, A.H.,Baker, D.
Small-molecule binding and sensing with a designed protein family.
Nat Commun, 17:-, 2026
Cited by
PubMed Abstract: The de novo design of small-molecule-binding proteins holds great promise as a potential tool to develop sensors on-demand for arbitrary small molecules. Here we combine deep learning and physics-based methods to generate a family of proteins with diverse and designable pocket geometries, which we employ to computationally design binders for six small-molecule targets. Biophysical characterization of the designed binders reveals nanomolar to low micromolar binding affinities and atomic-level design accuracy. Additionally, we use a cortisol binder to design a chemically induced dimerization (CID) system that enables the construction of a biosensor for cortisol detection. The approach described here demonstrates the potential of the NTF2 fold and deep learning-based protein design in sensor development, paving the way for future platforms to design binders and sensors for small molecules across analytical, environmental, and biomedical applications.
PubMed: 41904144
DOI: 10.1038/s41467-026-70953-8
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (1.52 Å)
Structure validation

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