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In silico evolution of protein binders with deep learning models for structure prediction and sequence design
There has been considerable progress in the development of computational methods for designing protein-protein interactions, but engineering high-affinity binders without extensive screening and maturation remains challenging. Here, we test a protein design pipeline that uses iterative rounds of dee...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187191/ https://www.ncbi.nlm.nih.gov/pubmed/37205527 http://dx.doi.org/10.1101/2023.05.03.539278 |