Thousands of rapidly evolving aphid proteins initially resisted both conventional sequence comparisons and AlphaFold2. By sequencing closely related aphid species and supplying the missing evolutionary context, researchers uncovered a shared structural blueprint across approximately 2,400 proteins and established a method that may help scientists study other fast-evolving proteins involved in immunity, host-parasite interactions, and agriculture.

Over nearly five decades, biomolecular simulation techniques have become indispensable tools for uncovering fundamental principles governing life at molecular scale. These computational approaches enable quantitative characterization of complex biomolecular events including protein folding, conformational dynamics and protein‑protein interactions, and have greatly advanced both fundamental and applied biological research. In recent years, the integration of machine learning, especially deep‑learning algorithms, has sparked substantial innovation within this field.

Children are very trusting of interactive toys powered by generative artificial intelligence, according to a new study by the University of Cincinnati.