Proteins are the end products of the decoding process that starts with the information in cellular DNA. As workhorses of the cell, proteins compose structural and motor elements in the cell, and they ...

The positions of these water molecules are often important for understanding protein flexibility and the ability of drug-like molecules to influence protein structure and function. In this study, ...

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology's biggest challenges: predicting the 3D shape of proteins ...

On Wednesday, the Nobel Committee announced that it had awarded the Nobel Prize in chemistry to researchers who pioneered major breakthroughs in computational chemistry. These include two researchers ...

DeepAFM is a deep learning-based method that analyzes high-speed atomic force microscopy images of proteins. It removes noise and identifies protein shapes, enabling accurate detection of transitions ...

Researchers are using crystallography to gain a better understanding of how proteins shapeshift. The knowledge can provide valuable insight into stopping and treating diseases. Proteins do the heavy ...