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Polaris @polarishub.io · 27d

4/ Make sure to checkout our Open Access paper, associated code and thoughts on implementation 👇

📄 Open Access paper: pubs.acs.org/doi/full/10....

💻 Code on GitHub: github.com/polaris-hub/...

💭 Thoughts on implementation: polarishub.io/blog/imagini...

Polaris @polarishub.io · 27d

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 @polarishub.io · 27d

2/ The initial preprint was refined with invaluable feedback:

✅ Community: Unique open-feedback period hosted on Github: github.com/polaris-hub/....

✅ Practical Learnings: Lessons learned from applying these guidelines in the ASAP Antiviral challenge.

✅ Peer Review: Formal review process at JCIM.

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Polaris @polarishub.io · 27d

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 replicability crisis.

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Polaris @polarishub.io · Apr 29

(3/3) Ready to explore the findings?

Now’s your chance. Analyze the data, test your ideas, and drop your insights in the Discord.

Join the Polaris community on Discord to dive deeper into the challenge results and share what you discover: discord.com/invite/cS6Nf...

Polaris @polarishub.io · Apr 29

(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 for the link: docs.google.com/forms/d/e/1F...

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Polaris @polarishub.io · Apr 29

(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.

Unblinded Datasets: polarishub.io/datasets?acc...

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Polaris @polarishub.io · Apr 8

Stay updated on the Multiomics Steering Committee's work by subscribing to our mailing list: polarishub.io#subscribe-to...

Polaris

The benchmarking platform for drug discovery

polarishub.io

Polaris @polarishub.io · Apr 8

and Rob Moccia (formerly Pfizer), Cuong Q. Nguyen (formerly GSK), Nate Robichaud (Nomic), William J. Godinez (Novartis), Tommaso Biancalani (Genentech), and Kristina Ulicna (Valence Labs). 🧵

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Polaris @polarishub.io · Apr 8

Led by experts from academia and industry, the committee includes: Oren Kraus (Recursion), Judith Mueller (Merck), Ali Denton (Valence Labs), Fabian J. Theis (Helmholtz Munich), Paula A. Marin Zapata (Bayer), Anne E. Carpenter (Broad Institute), Ian Barrett (AstraZeneca)... 🧵

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Polaris @polarishub.io · Apr 8

Multiomics data holds the potential to unravel biological complexity by providing complementary insights into cellular states of disease and their modulation through novel therapeutics.

We aim to propose clear definitions, identify benchmarking tasks, and encourage alignment on best practices. 🧵

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Polaris @polarishub.io · Apr 8

We're thrilled to announce the formation of the new Multiomics Steering Committee!

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, multi-cell-line viability) readouts. 🧵

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