At the American Chemical Society Fall 2020 Virtual Meeting & Expo, several Atomwise members and partners were selected to present their research and work. Learn what our Atoms have been working on below and visit Atomwise at ACS Fall 2020 Virtual Meeting & Expo for other presentation sessions.
Brad Worley, PhD
Atomwise Collaborators: ...Jon Sorenson, PhD, Izhar Wallach, PhD
Title: Model Fine-Tuning for Enhanced Virtual High-Throughput Screening Performance
Structure-based convolutional neural networks like AtomNet® have proven invaluable in early-stage drug discovery efforts by rapidly searching very large virtual compound libraries for compounds having affinity for a given target protein. However, the question of how to “fine-tune” a network—using the results of a confirmatory experimental assay to enrich for active compounds in later rounds of virtual screening—remains open. This tuning is especially important when screening targets that are markedly different from any target previously observed by the network during training, a scenario known as “domain shift”. We demonstrate a simple continued training protocol that improves next-round enrichment with only ~100 assay data points. Results from a more advanced semi-supervised fine-tuning protocol designed to mitigate the effects of domain shift will also be presented.
Check back for the on-demand video -- available after the ACS Fall Meeting
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.