Mapping protein selectivity landscapes using multi-target selective screening and next-generation sequencing of combinatorial libraries
Characterizing the binding selectivity landscape of interacting proteins is crucial in protein engineering. Here the authors use multi-target selective library screening and in silico next-generation sequencing to map the binding landscape of proteins and produce improved proteases inhibitors.
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/ac5f05fbac774e239f296d3fd917c27a |
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| Sumario: | Characterizing the binding selectivity landscape of interacting proteins is crucial in protein engineering. Here the authors use multi-target selective library screening and in silico next-generation sequencing to map the binding landscape of proteins and produce improved proteases inhibitors. |
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