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 ...
Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...
Inside the race to turn one of cell biology’s least understood processes into a new foundation for drug development and ...
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 ...
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 ...
Machine-learning platform enables signal peptide-informed discovery of small molecules that selectively inhibit protein secretion allowing for the degradation of disease-related proteins at the point ...
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