Article

<i>In silico</i> evolution of protein binders with deep learning models for structure prediction and sequence design

2023-05-03

Abstract excerpt

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 deep learning (DL)-based structure prediction (AlphaFold2) and sequence optimization (ProteinMPNN) to design autoinhibit...

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Literature Corpus work: 8cb0e880-e15c-5aa2-8121-42439c2eaad0
DOI: 10.1101/2023.05.03.539278

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