Hossam Ashtawy, PhD
Atomwise
Pretraining Graph Neural Networks on Ultra Large Chemical Libraries to Learn Generalizable ADMET Predictors
DIVISIONComputers in Chemistry
Date, time
Tuesday, August 24, 2021
7:40 pm to 8:00 pm
Saulo de Oliveira, PhD
Atomwise
Automated Assignment of Active Compounds to Non-Primary Sites Helps Deep-Learning Uncover Allosteric Modulators.
DIVISIONComputers in Chemistry
Date, time
Sunday, August 22, 2021
7:00 pm to 7:20 pm
Srimukh Prasad, PhD
Atomwise
A Virtual High-Throughput Screening Pipeline For Covalent Inhibitors
DIVISIONComputers in Chemistry
Date, time
Monday, August 23, 2021
7:00 pm to 7:20 pm
Ting-Rong Chern, PhD
Atomwise
Discovery of Small Molecule Inhibitors Targeting the HEG1-KRIT1 Protein-Protein Interaction with Deep Convolutional Neural Network
DIVISIONMedicinal Chemistry
Date, time
Wednesday, August 25, 2021
7:00 pm to 9:00 pm
Join our team
Our team is comprised of over 30 PhD scientists who contribute to a high-performance academic-like culture that fosters robust scientific and technical excellence. We strongly believe that data wins over opinions, and aim for as little dogma as possible in our decision making. Learn more about our team and opportunities at Atomwise.
About our technology
AtomNet® technology was the first application of artificial intelligence/machine learning to molecular recognition. Our award-winning AtomNet® technology has been used to find small molecule hits for more undruggable targets than any other AI drug discovery platform.
