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 ...

Using a similar unilateral discrimination protocol across three experiments with human adults (n = 96; 1,295 sessions), we now reveal distinct patterns of specificity, generalization, and persistence ...

In a recent study published in the journal Nature Methods, a group of researchers developed a novel method called Ribonucleic Acid (RNA) High-Order Folding Prediction Plus (RhoFold+). This deep ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

High-structure courses provide students with regular required practice opportunities, typically in the form of weekly before-class, in-class, and after-class exercises designed to help process course ...