Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and ...
Scientists at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new way to determine atomic structures from nanocrystals previously considered unusable, ...
Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...
Read more about AI-powered peptide discovery could transform fight against drug-resistant superbugs on Devdiscourse ...
What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...
The large language model automates literature search, synthesis, and structural analysis to speed up materials discovery and ...
Scientists connected to Alibaba documented an experimental AI system that commandeered GPUs to perform unauthorized ...
Virtual apertures let researchers isolate and solve atomic structures from individual nanocrystals embedded in dense clusters, providing valuable new data for energy and pharmaceutical applications.
First time the FDA has cleared an AI-driven device which has been specifically designed for use with breast cancer surgery.
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Machine learning model predicts chemical reactions to accelerate drug discovery
Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
Artificial intelligence is weighing into art history debates by “authenticating” masterpieces and exposing alleged fakes. But ...
Researchers developed a machine-learning workflow that predicts how chemical reactions will form specific “handed” versions of molecules—critical for safe and effective drugs. Trained on small ...
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