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]

Congrats! 🎉

Thank you, Jeff!!!

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.

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.

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.

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:

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.

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. 🚀

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

🔥 congrats, Simon!

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

Congrats to the team!! Looks awesome :D

Thank you, Rishabh!

Congrats team!

Thank you Chaitanya!

Congrats to you and the team, Simon! 🔥

Thanks a lot Karsten!

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

I wish more people did work like this!

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! 🔥

very cool

Saving to read later

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

Congrats Simon!

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.

Exciting innovation in AI-generated antibodies!

🔥

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

@micaelabazo @metanova_labs wen?