Protein molecules can have complicated structures that dictate their functions. Christoph Burgstedt/Science Photo Library via Getty Images Although the Nobel Prizes in physics and chemistry are ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in the ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid ...

Proteins spontaneously fold into intricate three-dimensional shapes which are key to nearly every biological process. But the complexity of protein shapes makes them difficult to study. Recently, ...

Proteins are integral components of all living organisms. They are composed of a sequence of building blocks called amino acids. That sequence determines their function, which can range from setting ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

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 ...