Jeffrey MacKeigan is not your traditional academic scientist. After completing his postdoctoral fellowship, he spent two years at one of the largest pharmaceutical companies in the world. That gives him a unique perspective on how academic labs, […]
It’s not unusual for scientists to be discouraged by a lack of treatment options for their disease of interest. There is, however, a special kind of frustration for researchers who have clearly identified a promising biological target for treating […]
Atomwise is comprised of a world-class team of diverse disciplines internally referred to as "Atoms." In this Atom Spotlight, we sit down for a Q&A session with Mostafa Ahmed, PhD, a member of our Computer-Aided Drug Design (CADD) Modelers Team. […]
Drug discovery startup Atomwise, which joined the NVIDIA Inception virtual accelerator program in 2018, developed AtomNet, a convolutional neural network for small molecule drug discovery. The AtomNet AI technology can screen more than 16 billion […]
With the implementation of genomic technologies, medicine is becoming increasingly personalized thanks to new treatments that target important molecular targets. In the context of Parkinson's disease, there is an urgent need to identify molecular […]
Atomwise is comprised of a world-class team of diverse disciplines internally referred to as "Atoms." In this Atom Spotlight, we sit down for a Q&A session with Jeff Warrington, PhD, a member of our Computer-Aided Drug Design (CADD) Modelers Team. […]
Ron Viola, a Distinguished University Professor at the University of Toledo, still remembers the moment he realized how sorely needed his research on the rare Canavan disease would be. He had just been awarded an NIH grant when the mother of a […]
"Atomwise is a member of NVIDIA Inception, a program that supports AI startups with go-to-market support, expertise, and technology. Atomwise developed the AtomNet® model, the first convolutional neural network (CNN) for drug discovery, capable of […]
Young Tang was on the road to becoming a physician when he realized that research was his real calling. During his medical training, as various professors taught him about the wide range of diseases and treatment regimens, what struck him most was […]