Alisia Fadini

Alisia Fadini

alisiafadini.bsky.social

Researcher. Learning biomolecular function and dynamics beyond the single-structure frontier @Columbia University

👤 Joined on 12 December 2024

424

Followers

247

Following

51

Total Posts

📜 Kullanıcı Geçmişi

  • 12 Ara 2024, 14:46
    🎉 Bluesky'e katıldı - İlk kullanıcı adı: @alisiafadini.bsky.social

🚫 Blokladığı Kullanıcılar

❤️ Beğendiği Gönderiler

OpenBind
15 October 2026 07:31

The #OpenBind Blind Challenge is now LIVE! Can your model predict ligand binding poses for 414 compounds against the Zika virus NS2B-NS3 protease? Join the challenge, submit predictions and see how your method performs. https://loom.ly/1aQdU3U #AIforScience #DrugDiscovery #OpenBind

Show Post

5/5 So rather than asking whether a dataset “contains an ensemble,” we suggest thinking in terms of a new research frontier: ** ensemble resolution ** Specifically, what differences between distributions can your data distinguish? What do you think? Let us know!

Show Post

4/5 Then comes processing. Cryo-EM preserves molecule-to-molecule variation, but filtering, alignment, classification, and reconstruction can remove or compress that information. Crucially, a reconstruction can gain spatial resolution while losing ensemble information.

Show Post

3/5 Single-particle measurements preserve variation more directly. But neither case gives you the ensemble for free. Averaged data constrain only certain features of the distribution. In single-particle, noise, nuisance variables, and finite sampling interfere.

Show Post

2/5 Different experiments encode the distributions in very different ways. An averaged measurement like X-ray diffraction can still contain a distribution: averaging observables is not the same as averaging structures.

Show Post

Select language

Install App

Install App