SPaDe-CSP first predicts most probable space groups and crystal densities using machine learning and then employs an efficient neural network potential for structure refinement. Prediction of crystal ...

For every life-changing new drug that comes to market, many candidates fail along the way. An artificial intelligence-based ...

In the race of innovative drug R&D, whether for antibodies, peptides, or novel binding proteins, the efficiency of early-stage molecule discovery is always the key factor determining project success ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

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 ...

Proteins are the molecular workhorses of cells. To understand their functions, scientists soon realized that they had to figure out proteins’ shapes. But solving a protein structure is a challenging ...

The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. These ...

In Biology 101, we learn that RNA is a single, ribbon-like strand of base pairs that is copied from our DNA and then read like a recipe to build a protein. But there's more to the story. Some RNA ...

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.