Using AI, MIT researchers identify a new class of antibiotic candidates
These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.
These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
The machine-learning algorithm identified a compound that kills Acinetobacter baumannii, a bacterium that lurks in many hospital settings.
MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.