Key result
A library of fusion proteins demonstrated high binding in self-assembled solid films, indicating that both assembly state and binding protein functionality are key to biosensing performance.
Why the study?
Incorporating proteins into materials is desirable for biosensing, but high-throughput selection techniques for screening protein libraries in materials contexts are lacking.
The integration of directed evolution with assembled systems is necessary for designing better biosensing materials.
High-throughput platform enables protein library screening in materials; leaves open validation for cardiovascular biosensing.
Evolution has shaped the development of proteins with an incredible diversity of properties. Incorporating proteins into materials is desirable for applications including biosensing; however, high-throughput selection techniques for screening protein libraries in materials contexts is lacking. In this work, a high-throughput platform to assess the binding affinity for ordered sensing proteins was established. A library of fusion proteins, consisting of an elastin-like polypeptide block, one of 22 variants of rcSso7d, and a coiled-coil order-directing sequence, was generated. All selected variants had high binding in films, likely due to the similarity of the assay to magnetic bead sorting used for initial selection, while solution binding was more variable. From these results, both the assembly of the fusion proteins in their operating state and the functionality of the binding protein are key factors in the biosensing performance. Thus, the integration of directed evolution with assembled systems is necessary to the design of better materials.
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Morris et al. (2023) studied this question. Fusion proteins (elastin-like polypeptide block, rcSso7d variants, coiled-coil sequence) was evaluated on Binding affinity in self-assembled solid films versus solution. A library of fusion proteins demonstrated high binding in self-assembled solid films, indicating that both assembly state and binding protein functionality are key to biosensing performance.
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