Researchers have developed a new artificial intelligence (AI) model that can more accurately predict how proteins interact with one another—an advancement that could accelerate drug discovery and ...

Opportunities span AI-driven protein design and structure prediction, precision therapeutics, engineered biologics and vaccines, synthetic biology, novel enzymes, high-throughput screening, and ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

In a remarkable leap forward for synthetic biology, the AI model ESM3, developed by Evolutionary Scale, has achieved a significant milestone. By simulating half a billion years of evolutionary ...

The people behind the original protein modeling tool Alphafold have now developed a newer version, Alphafold 3, which is changing the way that this fundamental technology works. Looking at the changes ...

The team behind DeepMind’s protein structure prediction software AlphaFold announced Oct. 31 that it is expanding its model beyond proteins. Ligands, nucleic acids, and post-translational ...

Artificial intelligence (AI) is reshaping protein engineering by moving functional discovery beyond low throughput experimentation toward predictive, application-driven design. Recent advances in ...

Gero, a biotechnology company developing novel therapeutics for aging and chronic diseases, has released ProtoBind-Diff, a novel masked diffusion language model that generates drug-like molecules for ...

IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage collections. Visit the IIIF page to learn more. Professor Jonathan Wittenberg used ...