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Bay Area Open Science Group - OpenADMET - Raising the bar on ADMET prediction with open science Online
This month, Dr. Pat Walters is joining us to talk about the OpenADMET initiative. Drug discovery programs frequently stall due to the Avoid-ome, which comprises the complex off-target interactions and ADMET liabilities that traditional heuristic methods struggle to address. To solve this, OpenADMET combines high-resolution structural biology, directed data generation, and machine learning into a systematic framework for predicting and mitigating these liabilities. Central to this mission is generating targeted datasets to host large-scale blind benchmarks that test community predictive models on real-world drug design problems. By uniting hundreds of academic and industry teams through these challenges, webinars, and conferences, the initiative fosters widespread collaboration to establish transparent, data-driven standards across the field.
The Bay Area Open Science Group is a growing community for Bay Area academics and researchers interested in incorporating open science into their research, teaching, and learning. Targeting students, faculty, and staff at UCSF, Berkeley, and Stanford, the goal of the community is to increase awareness of and engagement with all things open science, including open access articles, open research data, open source software, and open educational resources. Through this work the group hopes to connect researchers with tools they can use to make the products and process of science more equitable and reproducible.
UCSF welcomes all participants to our events. If you need a reasonable accommodation to participate in this event because of a disability, please contact Eileen Chen at eileen.chen@ucsf.edu as soon as possible.
Register for this event via Zoom
Related LibGuide: Reproducible Data Management by Ariel Deardorff
- Date:
- Tuesday, Dec 1 2026
- Time:
- 2:00pm - 3:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Online:
- This is an online event.
- Event URL:
- https://ucsf.zoom.us/meeting/register/K0-p_7YQTvueXjjtGIX6aw
- Categories:
- AI Data Science Scholarly Communication
Eileen Chen