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

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...

Scientists have developed a new machine learning framework that has shown the potential to be more accurate at inverse protein folding than existing state-of-the-art methods. (Nanowerk News) An AI ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Machine learning (ML) tools are a subset of artificial intelligence (AI) that use mathematical models to recognize patterns between input and output, and often subsequently make predictions based on ...

WEST LAFAYETTE, Ind. — The shared culprit in a slew of diseases — cancers, neurodegenerative diseases, diabetes — is molecules our cells have made incorrectly. Think of them as proteins gone wrong.

Researchers at IBM and Moderna have successfully used a quantum simulation algorithm to predict the complex secondary protein structure of a 60-nucleotide-long mRNA sequence, the longest ever ...

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. In a study published in the journal Nature ...