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ML-ready datasets and benchmarks for drug discovery. https://t.co/8z9a1TkSny
The Milky Way
Joined March 2024
1/ Benchmarks for methods that matter start with reliable data. That’s why we’re excited to introduce certification for datasets on Polaris!. Certified datasets meet the criteria for basic curation checks and are more visible on the platform. Curious to see how it works?👇
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Led by experts from academia and industry, the committee includes: Oren Kraus (@RecursionPharma), Judith Mueller (@Merck), Ali Denton (@valence_ai), Fabian J. Theis (@HelmholtzMunich), Paula A. Marin Zapata (@Bayer), Anne E. Carpenter (@broadinstitute), Ian Barrett.
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📝 What’s Next?. We’re preparing a publication summarizing community insights from the challenge. All participants are invited to contribute!. Join the discussion on Discord:
discord.com
Check out the Polaris community on Discord - hang out with 479 other members and enjoy free voice and text chat.
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Thanks to everyone who joined us last week! You can now watch the recording of the webinar:
We’re hosting @peter_skrinjar for a webinar to discuss his latest paper “Have protein co-folding methods moved beyond memorization?” 🚀. Peter will discuss the limitations of current co-folding models, the challenges of memorization in ligand pose prediction, and what is needed
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Reminder - this webinar is happening today at 11 AM ET! Join us live in ~40 minutes:
We’re hosting @peter_skrinjar for a webinar to discuss his latest paper “Have protein co-folding methods moved beyond memorization?” 🚀. Peter will discuss the limitations of current co-folding models, the challenges of memorization in ligand pose prediction, and what is needed
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Polaris is on a mission to bring innovators and practitioners closer together to develop methods that matter. Today, we’re excited to welcome Nicola Richmond (@RecursionPharma), Michael Reutlinger (@Roche), and Nils Weskamp (@Boehringer) to the Small Molecule Steering Committee!
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We’re hosting @peter_skrinjar for a webinar to discuss his latest paper “Have protein co-folding methods moved beyond memorization?” 🚀. Peter will discuss the limitations of current co-folding models, the challenges of memorization in ligand pose prediction, and what is needed
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