Zachary Wu; Kadina E. Johnston; Frances H. Arnold; Kevin K. Yang · 2021 · Current Opinion in Chemical Biology
Paper
Protein engineering seeks to identify protein sequences with optimized properties. When guided by machine learning, protein sequence generation methods can draw on prior knowledge and experimental efforts to improve this process. In this review, we highlight recent applications of machine learning to generate protein sequences, focusing on the emerging field of deep generative methods.
Analysis
This review highlights recent machine learning applications for protein sequence generation, focusing on deep generative methods.
Discovery
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