Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established constraints. Generative AI turns that on its head. It is an expansive force, ...

Sandwich compounds are special chemical compounds used as basic building blocks in organometallic chemistry. So far, their structure has always been linear. Recently, researchers made stacked sandwich ...

A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los Alamos' expertise in building tools for molecular screening capabilities.

The prompt is at the heart of our engagement with large language models. And a good deal of attention has fallen on “prompt engineering”—a term now commonplace, representing the practice of creating ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Predictive Oncology Inc. announced the successful development of predictive models for 21 unique compounds sourced from the University of Michigan's Natural Products Discovery Core, marking a ...

The effectiveness of non-clinical drug safety predictions is enhanced by the adoption of three-dimensional (3D) cellular models. 3D bioprinting enables the generation of complex models with spatial ...

Sandwich complexes were developed about 70 years ago and have a sandwich-like structure. Two flat aromatic organic rings (the “slices of bread”) are filled with a single, central metal atom in between ...