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@Polaris_HQ

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ML-ready datasets and benchmarks for drug discovery. https://t.co/8z9a1TkSny

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Joined March 2024
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@Polaris_HQ
Polaris
1 year
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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@Polaris_HQ
Polaris
2 months
4/ Make sure to checkout out our Open Access paper, associated code and thoughts on implementation 👇 📄 Open Access paper: https://t.co/nsJuO1jeln 💻 Code on GitHub: https://t.co/2IAHMeHfSI 💭 Thoughts on implementation:
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@Polaris_HQ
Polaris
2 months
3/ We're especially thrilled that this paper is open access thanks to the JCIM editor's choice program. We hope for the broad adoption of these guidelines to help close the gap between perceived progress and real-world impact in drug discovery.
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@Polaris_HQ
Polaris
2 months
2/ The initial preprint was refined with invaluable feedback: ✅ Community: Unique open-feedback period hosted on Github: https://t.co/nedp3PLZee. ✅ Practical Learnings: Lessons learned from applying these guidelines in the ASAP Antiviral challenge. ✅ Peer Review: Formal
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github.com
Explore the GitHub Discussions forum for polaris-hub polaris-method-comparison. Discuss code, ask questions & collaborate with the developer community.
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@Polaris_HQ
Polaris
2 months
1/ 🚀 Our updated paper on practically significant ML method comparison is now published in JCIM!🚀 How do we ensure a model that tops a leaderboard also delivers a practical, real-world impact in drug-discovery? This paper offers a clear framework to address the field's
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@Polaris_HQ
Polaris
6 months
(3/3) Ready to explore the findings? Now’s your chance. Analyze the data, test your ideas, and drop your insights in the Discord. We can’t wait to see what you come up with. Join the Polaris community on Discord to dive deeper into the challenge results and share what you
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@Polaris_HQ
Polaris
6 months
(2/3) 📢 In addition, ASAP is hosting a virtual showcase tomorrow, April 30 at 11AM ET / 5PM BST featuring top performers from the challenge. Speakers will present their methods, background, and post-hoc analyses now that the test data is live. Register to get the link:
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docs.google.com
We would like to invite you to a summary session where top participants in the ASAP:OpenADMET:Polaris Blind Challenge participants will showcase their approaches. This session is open to all intere...
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@Polaris_HQ
Polaris
6 months
(1/3) 🎉 Exciting Updates: Antiviral Unblinded Datasets! 🎉 Following the release of the ASAP Discovery x OpenADMET antiviral challenge leaderboard, the evaluation code is now open-sourced and the unblinded datasets are available on Polaris. Dive into the results and run your
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@Polaris_HQ
Polaris
7 months
Stay updated on the Multiomics Steering Committee's work by subscribing to our mailing list:
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@Polaris_HQ
Polaris
7 months
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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@Polaris_HQ
Polaris
7 months
Multiomics data holds the potential to unravel biological complexity by providing complementary insights into cellular states of disease and their modulation through novel therapeutics. Our goal is to propose clear definitions, identify critical benchmarking tasks, and
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@Polaris_HQ
Polaris
7 months
We're thrilled to announce the formation of the new Multiomics Steering Committee on Polaris! By "multiomics," we refer to the integration of high-dimensional data modalities at the cellular level, encompassing molecular (DNA, RNA, protein) and phenotypic (imaging-based,
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@Polaris_HQ
Polaris
8 months
🔔 Stay Connected! For updates on future competitions and collaborative opportunities in AI-driven drug discovery, subscribe to our mailing list: https://t.co/DFbHfwxfqV
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@Polaris_HQ
Polaris
8 months
📢 Your feedback matters! Help us improve future challenges - share your thoughts, experiences, and suggestions here:
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@Polaris_HQ
Polaris
8 months
📝 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 497 other members and enjoy free voice and text chat.
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@Polaris_HQ
Polaris
8 months
For detailed metrics, leaderboards, and further information, visit the challenge page:  https://t.co/TR4p4sgCAB
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@Polaris_HQ
Polaris
8 months
🚀 Antiviral Challenge Results! 🚀 We're excited to announce the conclusion of the ASAP Discovery x OpenADMET Antiviral Challenge! A huge thank you to everyone who participated, collaborated, and shared learnings, helping us collectively advance open science. 🎯 Challenge
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@Polaris_HQ
Polaris
8 months
📢 Antiviral Challenge Deadline Extended! 🦠 Good news! We’ve extended the deadline for the Antiviral Challenge until March 14th at 12:00 PM ET — more time to refine your models, test new approaches, and submit your best results! 💪 💡 To be eligible for the final and official
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@Polaris_HQ
Polaris
8 months
🚀 Leaderboard Update: Antiviral Challenge! 🚀 The latest rankings are in—check out where you stand: https://t.co/McYDkTcTwn Missed this update? No worries, you still have time to compete! The challenge runs until March 10th at midnight, so there’s still a chance to
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@Polaris_HQ
Polaris
9 months
Did you miss the cutoff for the last intermediate leaderboard of the antiviral challenge? We’re doing one last leaderboard update before the challenge officially ends on March 10th! Submit something by midnight, Feb 26th to see how you stack up against everyone else. Submit
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@Polaris_HQ
Polaris
9 months
Thanks to everyone who joined us last week! You can now watch the recording of the webinar:
@Polaris_HQ
Polaris
9 months
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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