You may have only recently heard about Demis Hassabis. He’s been named one of Time magazine’s “AI architects,” won a Nobel ...

It’s hard to keep up with all the discoveries made around the world every year in science, but harder still to sort the hype ...

AlphaFold arrived as a technical moonshot that suddenly made protein structures feel like software rather than secrets of ...

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding. However, there have been limitations for the world of scientific ...

Artificial intelligence isn’t just changing how we search the web or generate images. It is reshaping how scientists approach one of biology’s oldest problems: the folding of proteins. Google DeepMind ...

As bispecifics, ADCs, protein degraders, and AI-designed mini-proteins move into the clinic, discovery teams face a new bottleneck: engineering and producing molecules whose complexity challenges ...

(L) Senior co-corresponding author M. Madan Babu, PhD, FRS, St. Jude Senior Vice President of Data Science, Chief Data Scientist, Center of Excellence for Data-Driven Discovery director and Department ...

Genesis’ proprietary foundation model – Pearl – outperforms frontier models, including AlphaFold 3, on key benchmarks that predict utility in real-world drug discovery Pearl’s performance improved ...

This codebase implements a guided protein structure prediction pipeline that incorporates experimental data from three different structural biology modalities to improve AlphaFold3's prediction ...

Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered proteins with custom properties, addressing nearly 30% of all human proteins ...