CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

A supercomputer has helped to create an artificial intelligence model that deciphers the “language of proteins.” Scientists at the University of Glasgow used the Tursa supercomputer at the UK’s DiRAC ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.

CAMBRIDGE, MA -- Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...