Researchers have devised a mathematical approach to predict the structures of crystals -- a critical step in developing many medicines and electronic devices -- in a matter of hours using only a ...

In what ways does chromatographic co-elution affect MS2 spectral quality, molecular networking, and the accuracy of ML models trained on MS2 data?

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 ...

However, crystal structure prediction (CSP) is an inherently challenging task due to the weak and diverse intra- and intermolecular interactions unique to organic crystals. Even minor variations can ...

Soil liquefaction—the process where saturated soil loses its structure and transforms to a fluid-like state—can have devastating outcomes, as evidenced by the Great East Japan Earthquake in 2011.

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...