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A high throughput approach for the generation of orthogonally interacting protein pairs

In contrast to the nearly error-free self-assembly of protein architectures in nature, artificial assembly of protein complexes with pre-defined structure and function in vitro is still challenging. To mimic nature’s strategy to construct pre-defined three-dimensional protein architectures, highly s...

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Detalles Bibliográficos
Autores principales: Lawrie, Justin, Song, Xi, Niu, Wei, Guo, Jiantao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5772552/
https://www.ncbi.nlm.nih.gov/pubmed/29343761
http://dx.doi.org/10.1038/s41598-018-19281-6
Descripción
Sumario:In contrast to the nearly error-free self-assembly of protein architectures in nature, artificial assembly of protein complexes with pre-defined structure and function in vitro is still challenging. To mimic nature’s strategy to construct pre-defined three-dimensional protein architectures, highly specific protein-protein interacting pairs are needed. Here we report an effort to create an orthogonally interacting protein pair from its parental pair using a bacteria-based in vivo directed evolution strategy. This high throughput approach features a combination of a negative and a positive selection. The newly developed negative selection from this work was used to remove any protein mutants that retain effective interaction with their parents. The positive selection was used to identify mutant pairs that can engage in effective mutual interaction. By using the cohesin-dockerin protein pair that is responsible for the self-assembly of cellulosome as a model system, we demonstrated that a protein pair that is orthogonal to its parent pair could be readily generated using our strategy. This approach could open new avenues to a wide range of protein-based assembly, such as biocatalysis or nanomaterials, with pre-determined architecture and potentially novel functions and properties.