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Introducing Latent-X2 — AI-generated antibodies with drug-like developability and low immunogenicity in human panels, zero-shot. Technical report: Blog: Apply for access: [email protected]

Simon Kohl

3,071 subscribers

54,814 Aufrufe • vor 9 Monaten •via X (Twitter)

Gesundheit & Wellness Bildung Wissenschaft & Technologie

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29 Kommentare

Profilbild von Jeff Dean

Jeff Deanvor 9 Monaten

Congrats! 🎉

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

Thank you, Jeff!!!

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

Latent-X2 achieves high-affinity binders across modalities: scFv fragments — down to low picomolar VHH nanobodies — nanomolar affinities Macrocyclic peptides — hits on K-Ras, matching trillion-scale screens Testing just 4-24 designs per experiment. And as part of our report, we release lab-confirmed binder sequences for each of them.

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

But the real breakthrough isn't binding, it's developability. Our designs match or exceed approved therapeutics in head-to-head comparison. Expression yield, thermostability, polyreactivity — drug-like from the first generation.

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

And for the first time: immunogenicity assessment of an AI-generated antibody. Latent-X2 VHH binders cleared ex vivo T-cell activation and cytokine release assays across a ten-donor human panel. A critical milestone for clinical translation.

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

To enable reproduction, we're publishing the sequence and structure of a lab-validated antibody design for each target — accessible on the Latent Labs Platform without sign-in. See the lab-validated examples section on:

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

Super excited to also welcome Stefan Oschmann, former CEO of Merck KGaA, to our strategic advisory board. Drug discovery has long been bottlenecked not by hits, but by development. With Latent-X2, we're getting closer to designing the right molecule from the start.

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

Just five months after Latent-X1. Grateful to the team for pushing the frontier. Latent-X2 is available on the Latent Labs Platform, via API and in partnerships with us. Reach out: [email protected] More to come. 🚀

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

Check out the antibody design workflow on our platform. I am proud of how easy to use this frontier technology can feel.

Profilbild von Robin Rombach

Robin Rombachvor 9 Monaten

🔥 congrats, Simon!

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

Thank you @robrombach - and ofc amazing to have you contribute!

Profilbild von Rishabh

Rishabhvor 9 Monaten

Congrats to the team!! Looks awesome :D

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

Thank you, Rishabh!

Profilbild von Chaitanya K. Joshi

Chaitanya K. Joshivor 9 Monaten

Congrats team!

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

Thank you Chaitanya!

Profilbild von Karsten Kreis

Karsten Kreisvor 9 Monaten

Congrats to you and the team, Simon! 🔥

Profilbild von Simon Kohl

Simon Kohlvor 9 Monaten

Thanks a lot Karsten!

Profilbild von Anthara Fairooz

Anthara Fairoozvor 9 Monaten

Exciting innovation! Looking forward to seeing the impact of Latent-X2.

Profilbild von Rishabh Poddar

Rishabh Poddarvor 9 Monaten

I wish more people did work like this!

Profilbild von Rahul

Rahulvor 9 Monaten

Congratulations @saakohl! Latent-X is a game-changer for computational biology and drug discovery, pushing button for picomolar binders could slash timelines on undruggable targets like never before. AI in Science exploding! 🔥

Profilbild von nabajit (bio/acc)

nabajit (bio/acc)vor 9 Monaten

very cool

Profilbild von MrHonkster

MrHonkstervor 9 Monaten

Saving to read later

Profilbild von Amy - AI Girl

Amy - AI Girlvor 9 Monaten

Exciting advancement in AI-generated antibodies! Great potential for health innovation.

Profilbild von Arda Göreci

Arda Görecivor 9 Monaten

Congrats Simon!

Profilbild von PurePckg

PurePckgvor 9 Monaten

May I ask who was responsible for the frontend development using Mol*? The glass‑like rendering and the elegant handling of selections in each component are truly impressive.

Profilbild von Ava Grace

Ava Gracevor 9 Monaten

Exciting innovation in AI-generated antibodies!

Profilbild von Tony Kulesa

Tony Kulesavor 9 Monaten

🔥

Profilbild von Evgenii

Evgeniivor 9 Monaten

Nice affinities. It's a pity that no proofs are presented.

Profilbild von Sam Dare

Sam Darevor 9 Monaten

@micaelabazo @metanova_labs wen?

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