A Baylor College of Medicine-led team has developed a strategy that combines the analysis of thousands of proteins with ...

Proteins are not merely linear chains of amino acids; they only perform their biological functions after spontaneously ...

AlphaFold An artificial intelligence system developed by Google DeepMind that predicts three-dimensional protein structures from amino acid sequences and, in AlphaFold 3, models biomolecular complexes ...

A technology has been developed to embed invisible markers in proteins designed by artificial intelligence (AI), similar to ...

("Talus Bio"), an AI-native therapeutics company, today released Ptarmigan-1, the first structure-free model that can accurately predict small molecule binding sites across the entire human proteome, ...

Aphids are among the most quietly destructive forces in agriculture, draining sap from crops and manipulating the very plants ...

Nebius runs a dedicated Scientific AI and Healthcare practice among its cloud solutions, and in July 2026 it held an expanded AI Discovery Awards program recognizing healthcare and life sciences ...

A Baylor College of Medicine-led team has developed a strategy that combines the analysis of thousands of proteins with artificial intelligence (AI ...

One of the most stubborn obstacles in computational drug discovery is the cold-start problem: how do you predict whether a new drug will interact with a protein target when the model has never seen a ...

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...