A model known as ConPLex can predict whether potential drug molecules will interact with specific protein targets, without having to perform the computationally intensive calculation of the molecules’ structures. By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.
New model offers a way to speed up drug discovery
