The study, published in Communications Chemistry, explores the first AI‑powered model that can keep molecular simulations running safely and smoothly, even when molecules are pushed to extreme ...

Within the expanding landscape of short bioactive peptides, ABP-7 is believed to occupy a distinctive conceptual niche.

Researchers at The University of Manchester have created a groundbreaking physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at ...

Organic light-emitting diodes (OLEDs) have become a cornerstone in display and lighting technologies, driving the demand for efficient organic thermally activated delayed fluorescence (TADF) materials ...

The way a key cellular motor works at an atomic level has been uncovered by simulations conducted by RIKEN biophysicists. This finding, published in the journal Proceedings of the National Academy of ...

Determining correlations between molecules at various levels is an important topic in molecular biology. Large language models have demonstrated a remarkable ability to capture correlations from large ...

Google DeepMind has unexpectedly released the source code and model weights of AlphaFold 3 for academic use, marking a significant advance that could accelerate scientific discovery and drug ...

There has been progress in developing treatments for Alzheimer’s disease that reduce amyloid-beta protein. However, there is a need for treatments that also reduce inflammation as it has been hard to ...