“We will deliver a high-quality, derisked preclinical candidate in a shorter timeline than conventional drug discovery efforts,” Frearson said, at which point Pioneering Medicines will take ...

This ability to quickly identify viable drug candidates has the potential to dramatically shorten the drug discovery timeline. A key figure contributing to this revolution is Venkata Sri Manoj Bonam, ...

Our discovery, however, focuses on a membrane protein ... Sixth Tone: Do you have a timeline for developing a target drug based on your research? Wu: It’s difficult to predict. Drug development is an ...

Drug discovery is a time-consuming and costly process ... As a topic editor, you can set the timeline for your Research Topic, and we will work with you at your pace. Typically, Research Topics are ...

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 ...

Isomorphic Labs, the AI drug-discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital ...

A new company has entered the drug discovery space with what it calls a “chemistry-first” platform. Colorado-based Cime ...