Ivan Barvik

[Ivan Barvik @ibarvik]

https://t.co/1WmwUcSFsh

[Ivan Barvik @ibarvik]

@NEOVLIVNICZ @JiriPehe

[Ah-Ram Kim @ahramkim1128]

Now ESMFold2 and Protenix-v2 can be analyzed in https://t.co/CDjJhAI1dT

The example is p53-MDM2.

[Roshan Rao @proteinrosh]

Our paper on ESMC, ESMFold2, and mechanistic interpretability for proteins is up on @biorxivpreprint!

We've made a few changes since the initial version went online last week.

1. We found an issue in the way we provided MSAs to OpenFold3. This led us to report lower performance of OpenFold3 on some benchmarks. This issue does not affect any of the other models evaluated.

2. We updated how we report results on Runs N' Poses to more closely match the original paper (counting only ligands with valid SuCOS similarity score). We also add a bar plot to the supplement that stratifies performance by similarity. This mostly changes the absolute values of the pass rate, not the relative performance of models.

3. Added some more BLI data to the supplement.

4. Added some missing citations, fixed typos, etc.

Check out the preprint here: https://t.co/wGoYhDz3gU

[biohub @biohub]

ESMC didn't learn protein biology from a textbook. It learned from 2.8 billion sequences—the full evolutionary record of what works in nature. That's what a world model of protein biology looks like.

Download the model and start building: https://t.co/FQ9JObZv6F

[Ivan Barvik @ibarvik]

@CT24zive

[Ivan Barvik @ibarvik]

https://t.co/Hz7wJR4hBx

[Andre Watson 🧬 @nanogenomic]

New Boltz-2 vs. ESMFold2 benchmarks on native vs. de novo peptides just dropped 🧵

[Genesis Molecular AI @genesismolai]

Today we're sharing new breakthrough results for Pearl, our foundation model for protein–ligand cofolding.

The OpenBind Consortium recently released the first public structure-affinity benchmark for molecular AI, evaluating six prominent cofolding models on the EV-A71 2A protease. We ran our full Pearl system against the same target.

Zero-shot, with no binding-site information and no tuning, the Pearl system reaches 78% on OpenBind's primary success criteria, far ahead of every cofolding model tested by OpenBind. We also assessed a stricter sub-1 Å accuracy threshold, which is more relevant for real-world R&D usage – the Pearl system’s success is still 60%, versus 1–27% for the other models.

What matters most to us: this is the same system setup our scientists use on live drug discovery programs, not a benchmark-specific configuration.

Thanks to the OpenBind Consortium for building a rigorous public benchmark, and to @NVIDIAHealth for the support on optimizations that enabled model scaling.

[Ivan Barvik @ibarvik]

@JiriPehe Realita je, že ho už dvakrát zvolili prezidentem. A teď zvolí toho, na koho ukáže.

[Ivan Barvik @ibarvik]

@iDNEScz

[Ivan Barvik @ibarvik]

@adamsmir89 @CT24zive Na nás ty rakety budou spíš mířit.

[Ivan Barvik @ibarvik]

@RJsnda Protože měl výron v kotníku, když to psal?

[Ivan Barvik @ibarvik]

@FORUM_24 S klienty na Úřadu vlády? Tam něco dealují?

[Ivan Barvik @ibarvik]

@PeulnaMarkvart1

[Ivan Barvik @ibarvik]

@Gee2eR

[Ivan Barvik @ibarvik]

@enkocz Proč Babiš nechce na formální část jednání neříkal?

[🇺🇦🇨🇿Enela🇬🇪🇮🇱 @Enela96]

Tohle se povedlo.
Jenom teda některé jsem nepoznala, tak poraďte - viz komentář. 😀

[Ivan Barvik @ibarvik]

@parkovanivpraze Ty parkovací domy viděl ve snu?

[Ivan Barvik @ibarvik]

@CT24zive Jenom utrousil: "Ostatně soudím, že Čína musí být zničena".

[Ivan Barvik @ibarvik]

@vaclavmoravec Prodrogová politika se změní na protidrogovou?