Improving recombinant protein stability remains a central challenge in biotechnology, as many proteins exhibit limited robustness during production and use. Here, we introduce two intramolecular “clamping” systems, termed ZN-ring and TP-ring, that exploit ultrastable noncovalent protein–protein interactions to constrain the N- and C-termini of a target protein. These systems are derived from the high-affinity complexes formed by ZNHIT3/NUFIP1 and TAH1/PIH1, respectively, whose interactions are driven by extensive hydrophobic interfaces. Proof-of-concept constructs demonstrate that intrachain clamping preserves native-like interactions and yields highly stable assemblies with melting temperatures exceeding 95 °C. When applied to a model protein, the TP-ring significantly enhances thermal stability, consistent with structural predictions suggesting additional stabilizing contacts. Furthermore, clamping markedly improves the soluble expression of a challenging polyethylene terephthalate hydrolase (PETase) in Escherichia coli, without compromising its catalytically active fold. These results establish protein clamping as a versatile strategy to enhance stability, solubility, and expression. Given their intrinsic robustness and broad compatibility with diverse targets, ZN- and TP-ring systems provide a promising platform for protein engineering, with potential applications in biotechnology and structural biology.
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It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.