149 citations · 149 across the 1 of their papers we have counts for
2 papers
q-bio.BM2023
Machine Learning for Protein Engineering
Kadina E. Johnston, Clara Fannjiang, Bruce J. Wittmann +3
Directed evolution of proteins has been the most effective method for protein engineering. However, a new paradigm is emerging, fusing the library generation and screening approach…
q-bio.QM2021★ 149 cited
Protein sequence design with deep generative models
Zachary Wu, Kadina E. Johnston, Frances H. Arnold +1
Protein engineering seeks to identify protein sequences with optimized properties. When guided by machine learning, protein sequence generation methods can draw on prior knowledge…