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
Adaptive machine learning for protein engineering
Brian L. Hie, Kevin K. Yang
Machine-learning models that learn from data to predict how protein sequence encodes function are emerging as a useful protein engineering tool. However, when using these models to…