Latest posts

  • EMERALD: Automatically locate ligands in cyroEM maps

    EMERALD: Automatically locate ligands in cyroEM maps

    Under ideal conditions, cryo-electron microscopy can be used to determine protein structures at near-atomic resolution. But conditions are not always perfect. To help researchers make use of medium-resolution cryo-electron density maps, scientists in the DiMaio Lab have developed EMERALD, which is a new software tool that can accurately and automatically…

  • Lazarovits and Ueda receive WRF translational funding

    Lazarovits and Ueda receive WRF translational funding

    Washington Research Foundation (WRF) has awarded a $498,804 technology commercialization grant to Institute for Protein Design researchers Drs. James Lazarovits and George Ueda. The funding will enable Lazarovits and Ueda to further develop their “plug and play” Antibody Cage (AbC) Platform, which converts antibodies into new structures that uniquely bind…

  • Machine learning generates custom enzymes

    Machine learning generates custom enzymes

    Today we report in Nature the computational design of highly efficient enzymes unlike any found in nature. Laboratory testing confirms that the new light-emitting enzymes can recognize specific chemical substrates and catalyze the emission of photons very efficiently.

  • NBC: “Scientists use new A.I. tech to fight diseases”

    NBC: “Scientists use new A.I. tech to fight diseases”

    NBC reports on how our scientists are harnessing artificial intelligence to improve how proteins for medicines and vaccines are developed.

  • Frontiers of Knowledge Award goes to David Baker, Demis Hassabis and John Jumper

    Frontiers of Knowledge Award goes to David Baker, Demis Hassabis and John Jumper

    The 15th BBVA Foundation Frontiers of Knowledge Award in Biology and Biomedicine has gone to David Baker, Demis Hassabis and John Jumper “for their contributions to the use of artificial intelligence for the accurate prediction of the three-dimensional structure of proteins.” From the BBVA Foundation: Baker – a Professor of…

  • NYT: “A.I. Turns Its Artistry to Creating New Human Proteins”

    NYT: “A.I. Turns Its Artistry to Creating New Human Proteins”

    The New York TImes has reported on how, Inspired by digital image generators like DALL-E, our scientists are building artificial intelligences that can fight cancer, flu and COVID-19.

  • Establishing our first international translational research project

    Establishing our first international translational research project

    From our partners at the BioInnovation Institute: BioInnovation Institute (BII), an international enterprise foundation with a non-profit objective incubating and accelerating world-class life science research, announces today that it has accepted a new project into its Bio Studio program. Based on recent breakthroughs in Artificial Intelligence (AI) and protein design,…

  • David Baker to present at the NIH Director’s Lecture Series

    David Baker to present at the NIH Director’s Lecture Series

    David Baker presented at the NIH Director’s Wednesday Afternoon Lecture Series on December 14, 2022. From the National Institutes of Health: The NIH Director’s Wednesday Afternoon Lecture Series, colloquially known as WALS, is the highest-profile lecture program at the NIH. Traditionally, lectures have occurred on most Wednesdays from September through…

  • A diffusion model for protein design

    A diffusion model for protein design

    Update (July 2023): Our manuscript on the development of RFdiffusion has been published in Nature. A team led by scientists from the Baker Lab has created a powerful new way of designing proteins that combines structure prediction networks and generative diffusion models. The team demonstrated extremely high computational success using…

  • ProteinMPNN excels at creating new proteins

    ProteinMPNN excels at creating new proteins

    Over the past two years, machine learning has revolutionized protein structure prediction. Now, three papers in Science describe a similar revolution in protein design. In the new papers, scientists in the Baker lab show that machine learning can be used to create proteins much more accurately and quickly than previously…