MatterGen is based on a diffusion model, an AI concept that has already seen success in other areas, such as image generation. The model generates new materials by adjusting their 3D geometry, element ...

Researchers have now uncovered the 3D ... the chemical reaction. These RNAs are called riboswitches, and they do not chemically modify other RNAs. Thanks to the deciphered molecular structure ...

the model from Google DeepMind that can predict the 3D structures of biological molecules. DeepMind’s AlphaFold2, earned its pioneers Demis Hassabis and John Jumper the 2024 Nobel Prize in Chemistry.

To overcome that limitation, MIT researchers have developed a computational technique that allows large language models to predict antibody structures more accurately. Their work could enable ...

Beginning in the late 1970s, he effectively became a master builder in the nano universe — seeking how to use molecular bonds to fashion biological structures designed with a special purpose.

National Cancer Institute researchers have developed a method called HORNET for characterizing 3D topological ... Different initial models were used, including predicted structures and conformers ...

Tianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry, Tianjin Normal University, Tianjin 300387, P. R. China ...

“Using a model for the Milky Way’s mass distribution and the observed positions ... the astronomers quantified the Galaxy’s mass-weighted chemical abundances and age structure. This approach bypasses ...

Abstract: Organoids have garnered attention due to their effectiveness in modeling the 3D structure of organ interactions. However, the communication engineering perspective has received relatively ...