TuneLabTM in LiveDesign
LiveDesign now offers access to Eli Lilly’s TuneLab to bring a unified solution that democratizes access to AI models, physics-based calculations, and experimental data across discovery teams.
What is Lilly TuneLab?
Lilly’s Tunelab is a first-of-its-kind collaborative AI platform that aims to advance drug discovery and development. It provides access to AI/ML models trained on decades of Lilly proprietary research data.How to access
TuneLab through LiveDesign
TuneLab is now available in LiveDesign, Schrödinger’s enterprise informatics platform, as a priority interface for participating biotech companies to access TuneLab workflows.
LiveDesign is a flexible, cloud-native working environment for your entire discovery team, spanning both small and large molecule research — all in a single interface.
TuneLab is a collaborative platform created to offer access to AI/ML tools leveraging Lilly’s own drug discovery models.
“Schrödinger has a track record of successfully leveraging LiveDesign’s array of enterprise features and physics-based and AI/ML methods to advance our therapeutics portfolio, and we look forward to building on that success with TuneLab.”
“We launched TuneLab to provide to biotech partners the power of our collective data. We are pleased to be partnering with Schrödinger to provide biotechs access to TuneLab, given their leadership in computational methods and digital drug design.”
“We are pleased that LiveDesign will be a priority platform partner for TuneLab workflows, reflecting the demand for a unified enterprise informatics solution that democratizes access to AI models, physics-based calculations, and experimental data across discovery teams.”
What models are currently available?
ChemLab and AbLab are multi-task foundation models trained on diverse proprietary data. ChemLab offers over 30 small molecule ADME/Tox predictions and AbLab offers over 15 antibody developability predictions.
Your data privacy matters
TuneLab’s federated training is hosted by a third-party where biotechs contribute data in a privacy-preserving manner which allows Lilly and partner companies to use the models without the need to share proprietary data with each other. As TuneLab member companies contribute federated training data, the models become more generalizable across diverse chemical spaces, helping to accelerate future discoveries for members.