A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials. (Nanowerk News) The ...

A new finding from researchers at Georgetown University Medical Center shows that the learning process of associating cues with rewards can be altered by increased or decreased activity of a specific ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

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, ...

The company highlights how its technology powers large-scale proteomic perturbation studies, unveiling Perturb-PBMC, a 1.4 million–protein PBMC dataset available in the Nomic Portal ...

This valuable work defines a "learning proteome" for a C. elegans gustatory associative learning paradigm. These results provide the field with a new set of genes to further explore their roles in ...

Clarification: A previous version of this story had a different image. It has been updated for clarity. Walk into any kindergarten classroom this fall, and there’s a good chance students will be ...

Abstract: Accurately predicting protein functions is critical for understanding disease mechanisms and discovering potential drug targets. Gene Ontology (GO), with its hierarchical and semantic ...

This video discusses whether it is possible to learn a language without using one of the most common study methods. It looks at different learning strategies, compares traditional approaches with ...

Membrane proteins are crucial for numerous biological processes and serve as important drug targets. For decades, scientists have relied on detergents to extract membrane proteins from cell membranes ...