Deep mutational learning for the selection of therapeutic antibodies resistant to the evolution ...

Summary

The article explores machine learning applications in engineering synthetic mutagenesis libraries for the SARS-CoV-2 Omicron variant's spike protein mutations. The process involves genetic engineering, computational modeling, and deep learning to predict virus-antibody interactions. Tags like "Coronavirus spike protein" and "Mutation" link the study to biotechnology advancements and SARS-CoV-2 research.