UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive ...

“The whole drug discovery process is mitigating risk,” Ochoa says, citing the 90% failure rate of potential new drugs. “The more you understand about the problem, the less risks you have.

Drug repurposing, or finding new uses for existing medications, could potentially lower the cost of prescription drugs and medical expenses and accelerate the discovery of new treatments. In the ...

Researchers studying Alzheimer’s disease are using artificial intelligence-powered databases to accelerate the drug discovery process by making it easier to sift through vast amounts of ...

Interested in finding a better way to develop drugs to treat amyotrophic lateral sclerosis (ALS), Northeastern researcher ...

Goldman Sachs estimates that AI drug discovery and breakthroughs like gene editing will add 0.5% to 2.5% to the U.S. gross ...

The researchers identified the structure of this machine, the mitochondrial pyruvate carrier (MPC), and 50 years since its discovery, have shown how it operates like the lock on a canal to transport ...

Drug discovery is the process of identifying and characterizing molecules with the capacity to safely modulate disease, to bring medicines that can enhance patients’ lives. It is a lengthy and ...

Company Logo Dublin, April 08, 2025 (GLOBE NEWSWIRE) -- The "Drug Discovery Services Market by Process (Target Validation, Hit-to-Lead, Lead Optimization), Type (Chemistry, Biology), Therapeutic ...

Biologists at the Oxford Drug Discovery Institute had selected 54 genes from a genome-wide association study that were related to the immune system, all of which are likely targets for lab testing ...

Researchers studying Alzheimer’s disease are using artificial intelligence-powered databases to accelerate the drug discovery process by making it easier to sift through vast amounts of biomedical ...