{"id":12548,"date":"2023-09-07T00:02:14","date_gmt":"2023-09-06T16:02:14","guid":{"rendered":"https:\/\/newsletter.sinica.edu.tw/en\/?p=12548"},"modified":"2024-03-13T09:19:02","modified_gmt":"2024-03-13T01:19:02","slug":"ai-accelerates-protein-design-and-enhances-enzyme-activity","status":"publish","type":"post","link":"https:\/\/newsletter.sinica.edu.tw/en\/12548\/","title":{"rendered":"AI Accelerates Protein Design and Enhances Enzyme Activity"},"content":{"rendered":"
Unlocking the potential of protein activation has historically posed challenges, necessitating extensive screening and biochemical assays. Dr. Kuen-Phon Wu at the Institute of Biological Chemistry has led a team to demonstrate a paradigm shift. By integrating the advanced deep learning tool, ProteinMPNN, they have engineered ubiquitin into a potent allosteric activator tailored for Rsp5 E3 ligase. The entire process was fully automated from protein designs to sample preparation to functional assays took only three months. This milestone heralds a new era, where AI-driven protein design obviates the need for exhaustive experimental screening and validation. This study has been published in in the journal ACS Synthetic Biology<\/em> (August 2023).<\/p>\n