Add Yahoo as a preferred source to see more of our stories on Google. Although the Nobel Prizes in physics and chemistry are awarded separately, there is a fascinating connection between the winning ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid sequences, surpassing slower, more expensive traditional methods. ML-based ...

This image shows a plant protein known as KIN10 (yellow) that acts as a sensor and a switch to turn oil production off or on depending on whether it interacts with another protein (green). Credit: ...

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 ...

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 ...

Rachel Feltman: Happy Monday, listeners! Let’s get the week started by catching up on some of the latest science news. For Scientific American’s Science Quickly, I’m Rachel Feltman. The winners of the ...

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design of bioimaging, sensing and drug delivery materials. (Nanowerk News) The ...