A protein created by RFdiffusion3, a newly released protein design tool from Nobel laureate David Baker’s lab, interacting with DNA. (UW Institute for Protein Design / Ian C. Haydon Image) David Baker ...

An illustration shows a protein overlaid with binary code. Artificial intelligence–based protein design can introduce challenges for biosecurity screening software. Credit: C&EN/Shutterstock On a call ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Funding supports global expansion of ScalaOS, a hybrid AI-driven protein design software platform enabling faster design and optimization of biologics, enzymes, antibodies, and vaccines Scala ...

Dyno’s Psi-Phi generative protein design and agentic interfaces provide versatile AI models and agents that connect physical outcomes with computational workflows Dyno Therapeutics, Inc., a genetic ...

An interdisciplinary research team from Leipzig University and the Saxon AI center ScaDS.AI has developed a novel approach that integrates artificial intelligence (AI) methods with biophysical ...

It has been a few years since AI began successfully tackling the challenge of predicting the three-dimensional structure of proteins, complex molecules that are essential for all life. Next-generation ...

Various approaches to such protein redesign have drawbacks. Traditional methods include time-consuming trial and error efforts, and many models in the emerging field ...

David Baker’s lab at the University of Washington is announcing two major leaps in the field of AI-powered protein design. The first is a souped-up version of its existing RFdiffusion2 tool that can ...