Amino acid sequences used to predict enzyme stereoselectivity

Carbonyl reductase

Source: Protein Data Bank

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.