Engineering stabilized proteins is a fundamental challenge in the development of industrial and pharmaceutical biotechnologies. We present Stability Oracle: a structure-based graph-transformer ...

Machine learning interatomic potentials (MLIP) are a topic of very active research, promising to bring the high accuracy of electronic structure methods to large space and long time scales previously ...

The disordered atomic structure of metallic glasses creates a unique combination of high strength and elasticity but obscures which features control performance. Two machine learning approaches ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...