Explore how large language models enhance knowledge graphs in drug discovery and improve data management and reasoning.

Choosing between plate reader-based assays and mass spectrometry solutions is a key decision for scientists when evaluating ...

But the profusion of new types of molecules also raises a tough question for early-stage drug discovery: Which modality would be the most effective way to drug a target of interest? Experts say ...

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

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in ...