News & Announcements

What a close race this one was! In this blog post, we look at how submissions evolved throughout our latest EGFR binder design competition. We highlight the most widespread model and design choices, how some people exploited loopholes in our scoring system, and argue if de novo design is reliable or not. We also have plenty of animations for you to click through!

Imagine if you could let your AI agent design novel proteins, autonomously test them in our wet lab and then improve itself based on the results.

The results of the first round of the EGFR binder design competition are here! In this blog post, we analyze the most common model and design choices, take a closer look at the strategies that yielded successful binders, and provide recommendations for your future design campaigns.

For this technical blog post, we surveyed the state of the art of using ML for protein optimization. We focused on adaptive, cost constrained, and multi-objective methods and have summarized the best approaches for you.

Using our automated Affinity Characterization workflow we validated RFDiffusion designed binders in less than 24h

After months of testing with some of the best protein design teams in the world, we are excited to announce public beta access to our protein engineering platform.

Automancer is a user-friendly, modular, and accessible laboratory automation software that can integrate with a wide range of devices to design and execute experimental protocols.

ProteinFlow is a versatile, open-source Python library for processing protein structure data for deep learning applications.

Proteins are the most advanced nanotechnology we know of. At Adaptyv Bio, our mission is to make proteins easier to engineer.