Researchers from the Center for Soft and Living Matter within the Institute for Basic Science (South Korea), recently explored the limits of AlphaFold2 AI’s ability to predict protein structures.

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

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...

University researchers developed a new technique to predict multiple protein conformations using an AI-based technology called AlphaFold2. Their findings, published in a March study, may aid in drug ...

Announcing a new publication for Acta Materia Medica journal. Proteins are essential macromolecules that perform functions according to their conformational dynamics. Studying the conformational ...

Demis Hassabis (CEO of Deep Mind) and John M. Jumper have useed artificial intelligence to predict the structure of almost all known proteins. David Baker has learned how to master life’s building ...

Today (September 21), the Lasker Foundation announced this year’s award winners. John Jumper, a computational biologist at DeepMind, and Demis Hassabis, cofounder and CEO at DeepMind, were awarded the ...

Three scientists were named winners of the 2024 Nobel Prize in Chemistry for their innovations in the fields of computational protein design and structure prediction. One half of the prize was awarded ...

In the fight against diseases like Alzheimer’s and Parkinson’s, scientists have long struggled to predict how certain proteins misfold. These misfolded proteins, known as amyloids, clump together in ...

Proteins are chemical tools central to life and can take the form of hormones, antibodies, enzymes, communication channels in cells and building blocks of tissues. For the wide range of functions and ...