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9QUC

Metal-free de novo protein scaffold TFD-EH

Summary for 9QUC
Entry DOI10.2210/pdb9quc/pdb
Related6ZV9
DescriptorTFD-EH, CITRIC ACID, 1,2-ETHANEDIOL, ... (4 entities in total)
Functional Keywordstim barrel, enzyme engineering, metal coordination, conformational dynamics, de novo protein
Biological sourcesynthetic construct
Total number of polymer chains1
Total formula weight19480.51
Authors
Primary citationWagner Egea, P.,Delhommel, F.,Mustafa, G.,Leiss-Maier, F.,Klimper, L.,Badmann, T.,Heider, A.,Wille, I.,Groll, M.,Sattler, M.,Zeymer, C.
Modular protein scaffold architecture and AI-guided sequence optimization facilitate de novo metalloenzyme engineering.
Structure, 2025
Cited by
PubMed Abstract: Incorporating metal cofactors into computationally designed protein scaffolds provides a versatile route to novel protein functions, including the potential for new-to-nature enzyme catalysis. However, a major challenge in protein design is to understand how the scaffold architecture influences conformational dynamics. Here, we characterized structure and dynamics of a modular de novo scaffold with flexible inter-domain linkers. Three rationally engineered variants with different metal specificity were studied by combining X-ray crystallography, NMR spectroscopy, and molecular dynamics simulations. The lanthanide-binding variant was initially trapped in an inactive conformational state, which impaired efficient metal coordination and cerium-dependent photocatalytic activity. Stabilization of the active conformation by AI-guided sequence optimization using ProteinMPNN led to accelerated lanthanide binding and a 10-fold increase in k/K for a photoenzymatic model reaction. Our results suggest that modular scaffold architectures provide an attractive starting point for de novo metalloenzyme engineering and that ProteinMPNN-based sequence redesign can stabilize desired conformational states.
PubMed: 41197620
DOI: 10.1016/j.str.2025.10.010
PDB entries with the same primary citation
Experimental method
X-RAY DIFFRACTION (1.6 Å)
Structure validation

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数据于2025-11-19公开中

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