At the American Chemical Society Spring National Meeting & Expo, Atomwise members were selected to present their research and work. Learn what our Atoms have been working on below and visit Atomwise at ACS Spring 2022 National Meeting for other […]
Atomwise scientists are adapting machine learning models to make predictions about a class of drug compounds that has been challenging to study.
At the American Chemical Society Spring National Meeting & Expo, Atomwise members were selected to present their research and work. Learn what our Atoms have been working on below and visit Atomwise at ACS Spring 2022 National Meeting for other […]
At the American Chemical Society Spring National Meeting & Expo, Atomwise members were selected to present their research and work. Learn what our Atoms have been working on below and visit Atomwise at ACS Spring 2022 National Meeting for other […]
At the American Chemical Society Spring National Meeting & Expo, Atomwise members were selected to present their research and work. Learn what our Atoms have been working on below and visit Atomwise at ACS Spring 2022 National Meeting for other […]
Our researchers are developing an automated pipeline that can more accurately identify promising compounds targeting multi-site proteins
Atomwise scientists are improving predictive models for ADMET profiling by including a pre-training step that builds on diverse publicly available datasets
Until recently, a diagnosis of sickle cell disease was considered a death sentence. Now, people with this blood disorder are more likely to live well into adulthood, but they still suffer from severe bouts of pain and an increased risk of infection.
With the programmers on the Atomwise team, we have a steady stream of new ideas for how to improve the AtomNet® platform we created to virtually screen protein targets against billions of compounds to find promising drug candidates.