The use of artificial intelligence (AI) has been increasing in scientific research and clinical applications. From determining best treatment options for cancer patients, to identifying novel ...

Swedish chemist Jöns Jacob Berzelius, in a letter to a fellow chemist, first suggested the name ‘proteins’ for a particular class of biological substances, deriving it from the Greek word proteios, ...

Over the past decade, however, a wave of technological advances has begun to expand the druggable proteome. These include covalent inhibitors (such as sotorasib), chemical proteomics, and AI-enabled ...

Google DeepMind's groundbreaking new AI predicts not only the structure of proteins, ligands, DNA, RNA and "all of life's molecules," but how they'll interact. It promises a radical, revolutionary ...

Traditional drug development methods involve identifying a target protin (e.g., a cancer cell receptor) that causes disease, and then searching through countless molecular candidates (potential drugs) ...

State-of-the-art AI programs can support the development of drugs by predicting how proteins interact with small molecules. However, a new study by researchers at the University of Basel published in ...

The GPCRact AI model goes beyond AlphaFold3 by predicting whether drugs functionally activate G-protein-coupled receptors ...

For years, a protein inside our cells has quietly powered billions of dollars' worth of cancer drugs. Now a team of ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...