Team behind tool hope to dramatically reduce the experimental workload of scientists using directed evolution to develop biocatalysts
Researchers in China have developed a machine learning tool that can predict both the stereoselectivity and activity of engineered enzymes by analysing their amino acid sequence. They claim their tool can dramatically reduce the experimental workload of scientists using directed evolution to develop biocatalysts.