New model offers a way to speed up drug discovery
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.
With further development, the programmable system could be used in a range of applications including gene and cancer therapies.