David Baker, Demis Hassabis and John Jumper share the 2024 Nobel Prize in Chemistry for their contributions to the science of protein structure. David Baker was awarded half the prize “for computational protein design,” according to the Royal Swedish Academy of Sciences. Hassabis and Jumper shared the other half “for protein structure prediction.”

David Baker, Demis Hassabis and John Jumper share the 2024 Nobel Prize in Chemistry for their contributions to the science of protein structure. David Baker was awarded half the prize “for computational protein design,” according to the Royal Swedish Academy of Sciences. Hassabis and Jumper shared the other half “for protein structure prediction.”

As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”

As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”

Proteome analysis with artificial intelligence has made it possible to create a catalog of all possible missense mutations in the human genome to predict diseases.

Proteome analysis with artificial intelligence has made it possible to create a catalog of all possible missense mutations in the human genome to predict diseases. The new Alphamissense tool from the technology company Google Deepmind, available online, will allow scientists to refine diagnoses and design more tailored treatment strategies for patients suffering from pathologies associated with these variants.

Researchers have identified a druggable pocket on the phosphatase Wip1, which regulates the tumor suppressor TP53 as well as DNA damage repair proteins. The work, which was published in Frontiers in Molecular Biosciences on April 18, 2023, by researchers from the University of Pennsylvania, could lead to therapeutics targeting Wip1. And the computational deep learning methods used to identify the pocket are broadly useful for identifying what the authors call “cryptic” pockets.

It is now possible to look up the 3D structure of every known protein following the latest release of Alphafold, an open database run in partnership by Deepmind, the London-based artificial intelligence company owned by Google parent Alphabet and the European Molecular Biology Laboratory’s European Bioinformatics Institute in Cambridge, U.K.