In 2020, news headlines repeated John Moult’s words at the end of a stunning competition: Artificial intelligence had “solved” a long-standing grand challenge in biology, protein structure prediction.

The shape, or structure, of proteins determines how they work, making it essential for researchers to have access to high-quality structural models. St. Jude Children's Research Hospital investigators ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

John Jumper (S.M. ’12, Ph.D. ’17) was awarded the Nobel Prize in Chemistry in 2024 for his contributions to the development of AlphaFold, an AI model that revolutionized protein structure prediction.

Researchers developed a fully open-source biomolecular structure prediction model that achieves state-of-the-art performance, at the level of AlpahFold3, in an effort to democratize biomedical ...

Representing a molecule in a way that captures both its structure and function is central to tasks such as molecular property prediction, drug drug ...

Researchers present BioEmu – a new AI model that rapidly and accurately predicts the full range of shapes a protein can adopt, offering a faster, cheaper alternative to traditional molecular ...

Fully open source model accurately predicts the 3D structures of proteins and biomolecules in silico, and serves as a foundational model for next generation of cutting-edge Protein AI tools The ...

CASP, the protein structure prediction contest that launched DeepMind’s AlphaFold to international fame and a Nobel Prize, has secured temporary funding to continue operations. The organization’s ...

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI ...