Excited to report the first de novo enzyme catalyzing two of the most energetically demanding reactions in biology—phosphomonoester and phosphodiester hydrolysis—with catalytic efficiencies comparable to natural enzymes! 🚀 desB was designed zero-shot with dEVA. No structure prediction, no pre-defined motif, no reaction-intermediates. 🧵 @StanfordBiosci @bioe_stanford @SLAClab @EPFL @hes_so @simonduerr

Today we're dropping the "beta" tag from Adaptyv, launching our new website and announcing our $8M seed round. When we started Adaptyv a few years ago, our core belief was: AI models for biology are only as good as the experimental data they're trained on and the hypotheses they can test in the real world. Now, after a year of working with many great partners, we’ve scaled our infrastructure to the point that we're now open to anyone who wants to use our platform! Overall, this year, over 30 companies started using Adaptyv to validate their protein designs - from some of the biggest pharmas to frontier AI labs to many, many techbio startups. We've run hundreds of experiments, tested well over 10,000 proteins this year and are generating the data that validates the best AI models currently in development.

Chai Discovery just released their new model Chai-2, validated on Adaptyv! Chai-2 enables generation of de novo proteins and epitope-specific antibodies using a multimodal generative architecture that integrates all-atom structure prediction and generative modeling. Chai tested many of their new protein designs using our high-throughput wet lab at Adaptyv to get high quality data to improve their AI models in as little as two weeks per round.

Thank you to everyone who came to MLSB this year!! We are collecting feedback in a short 2 minute survey (and more data means maybe next year we'll train a new model... or just get a bigger room 😄) forms.gle/WHFNfvxVh3QxuTXZA