Portland-based biotech company Araceli Biosciences raised $11.2 million in new funding to fuel the expansion of its ...

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

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

Phenotypic screening has re-emerged as a powerful strategy for identifying drugs based on their observable effects. Discover ...

GenAI offers a realistic path forward in tackling previously undruggable targets, with the potential to reshape the entire ...

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

Clinical trial success rates are very low, with up to 95% not succeeding, and a wide range of disease states remains ...

Researchers have made a major breakthrough that could transform IV medications into oral treatments for diseases like brain ...

A new discovery could pave the way for more effective cancer treatment by helping certain drugs work better inside the body.

This greatly restricted the kinds of compounds that could be developed as induced proximity drugs. This new mechanistic discovery bypasses this limitation by chemically enhancing CD36-mediated ...

Presentations will be delivered by experts from a wide variety of leading research groups including Pfizer, GSK, and Bio-Techne, along with co-hosts IPA, ACROBiosystems, and Curia. SALT LAKE CITY, ...

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