A team of scientists has uncovered the mechanism of cellular uptake for large and polar drugs and devised a novel strategy to ...

The landscape of drug discovery is evolving rapidly, driven by breakthroughs in AI, high-throughput screening and precision medicine. As researchers work to develop safer, more effective therapies, ...

Learn the fundamentals of how the nCounter technology works and the benefits of using this technology in investigational drug discovery and development • Discover specific applications across drug ...

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

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 ...

The drug discovery space is no different, with myriad applications promising to revolutionise the way that researchers and sponsors approach identifying and progressing new drug candidates.

and there’s nowhere near enough illumination for AI biology models to understand what the topography of those plains look like, much less make useful predictions for drug discovery.