Latest from our Blog
Updates on blind challenges, new models, datasets, and lessons learned from the OpenADMET community.
Pregnane X Receptor PDB Structure Rerefinement
Improving 66 Pregnane X Receptor structures from the Protein Data Bank using modern refinement protocols to enhance ligand model quality.
Read MoreRunning the OpenADMET Stack on AMD GPUs with ROCm
A comprehensive guide for setting up an AMD GPU workstation with ROCm drivers and the full OpenADMET development environment.
Read MorePredicting PXR Induction - We have liftoff
Launch details for the PXR induction challenge, including the dataset, rules, and practical guidance for participants.
Read MoreLessons Learned from the OpenADMET-ExpansionRx Blind Challenge: Can We Trust Zero-Shot ADMET Predictions?
Reflections on the ExpansionRx challenge and what the results suggest about zero-shot ADMET prediction in practice.
Read more →Announcing the next OpenADMET Blind Challenge: Predicting PXR Induction
An introduction to the next blind challenge and why blinded datasets remain important for realistic benchmarking.
Read more →A Hot, Fresh, & New Clearance Model
A look at OpenADMET's clearance modeling work and the broader challenge of generalizing across chemical space.
Read more →Building the OpenADMET Data Engine
A behind-the-scenes look at the infrastructure and strategy required to generate useful ADMET datasets at scale.
Read more →Lessons Learned from the OpenADMET - ExpansionRx Blind Challenge
Early takeaways from the ExpansionRx challenge, including what participants and organizers learned from the first round.
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