Aryan Pedawi, PhD
Atomwise
Uncertainty quantification for ligand-based drug design
DIVISIONComputers in Chemistry
Date, time
Tuesday, March 22, 2022
9:00 am to 9:20 am
Andreana Rosnik, PhD
Atomwise
Synthetic benchmarks to evaluate attribution for structure-based graph convolutional networks in drug discovery
DIVISIONComputers in Chemistry
Date, time
Wednesday, March 23, 2022
2:40 pm to 3:00 pm
Tigran Abramyan, PhD
Atomwise
Discovery of small-molecule ligands of retinoblastoma-associated protein Rb1 using artificial intelligence
DIVISIONMEDICINAL CHEMISTRY
Date, time
Sunday, March 20, 2022
12:00 pm to 2:00 pm
Aryan Pedawi, PhD
Atomwise
Self-supervised learning of atomic and molecular representations with 3D equivariant graph neural networks
DIVISIONCOMP
Date, time
Tuesday, March 22, 2022
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.
