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 ...

Autonomous AI protein design clears a new benchmark: Anthropic's Claude autonomously ran protein binder campaigns against 15 ...

Anthropic says Claude designed protein binders against 14 of 15 targets and ran chemical analysis in minutes. The results are ...

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 ...

The GenSci148 program illustrates a shift from one-time mutation prediction to iterative protein engineering under real drug-development constraints ...

Proteins, the natural molecules that carry out key cellular functions within the body, are the building blocks of all diseases. Characterizing proteins can reveal the mechanisms of a disease, ...

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 ...

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 ...

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 ...