Demonstrates a novel colorimetric blot screening engineered oxidoreductases, suggesting improved functional validation efficiency.
The rapid expansion of protein variant libraries, facilitated by advanced computational design, has created an urgent need for efficient functional validation, as experimental screening of catalytic activity remains a major bottleneck compared to binding-based assays. Conventional high-throughput methods often rely on tedious purification or activity-blind antibody detection, which fail to assess actual enzymatic performance. Here, we report an ultra-fast, tag-free, activity-based colorimetric colony filtration (CoFi) blot to bridge the gap between sequence exploration and functional validation. Unlike traditional expression-based protocols, our system visualizes enzymatic turnover within minutes via a 2,6-dichlorophenolindophenol (DCIP)-based redox coupling reaction directly on a membrane. Using FAD-dependent glucose dehydrogenase (FAD-GDH)—a gold-standard enzyme for continuous glucose monitoring—as a model system, we demonstrated simultaneous assessment of solubility and activity directly from E. coli colonies. Our platform successfully identified high-activity variants from engineered libraries, with the lead variant exhibiting a 16-fold increase in decolorization halo area compared to the wild-type. This approach provides a robust, cost-effective tool for the rapid functional validation of a wide range of oxidoreductases capable of DCIP reduction, regardless of the specific design methodology. • A novel activity-based colorimetric CoFi blot was developed for the screening of engineered FAD-dependent oxidoreductases. • The system enables tag-free, in situ detection of catalytic activity within minutes. • DCIP-mediated decolorization facilitates rapid visual identification of high-performance variants. • A redesigned FAD-GDH lead variant was identified with a 16-fold increase in halo area. • The platform bridges the gap between computational design and functional enzyme validation.
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Lee et al. (2026) studied this question.
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