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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...

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Detalles Bibliográficos
Autores principales: Goudy, Odessa J, Nallathambi, Amrita, Kinjo, Tomoaki, Randolph, Nicholas, Kuhlman, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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