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 ...

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 ...

The new application, TargetSelector, streamlines target-protein discovery and enables researchers in various industries to identify novel targets for innovative products REHOVOT, Israel, July 25, 2023 ...

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 ...

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 ...

Enodia Therapeutics, a biotechnology company developing novel small-molecule therapies for targeted protein degradation at ...

Inside the race to turn one of cell biology’s least understood processes into a new foundation for drug development and ...

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 ...