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Today we are announcing our collaboration with Pfizer to put Chai's frontier AI—including our latest model, Chai-3—directly into the hands of one of the world's leading pharmaceutical teams.
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Joshua Meier
608 posts
Joshua Meier
@joshim5
Co-Founder at Chai Discovery
- We’re excited to introduce @chaidiscovery and release Chai-1, a foundation model for molecular structure prediction that performs at the state-of-the-art across a variety of drug discovery tasks We're releasing inference code, weights & a web interface: chaidiscovery.com/blog/introduct…
- Proud to announce @chaidiscovery has raised a $70M Series A from @MenloVentures & Anthology Fund (@AnthropicAI), @ThriveCapital, @OpenAI + others. 🧬 Chai is an applied AI lab building frontier tools for molecular design. This funding will power our new models, coming soon👇
00:00 - 📢 Our new #manuscript shows how zero-shot Generative AI can create de novo antibodies from scratch. 🏅Hundreds of antibodies are created zero-shot and validated in the wet-lab for the first time ever. Paper: biorxiv.org/content/10.110… Data: github.com/AbSciBio/unloc…
- Neural networks can now be built from proteins! Can we use protein-based neural networks to design new proteins? 🤯 Self-replicating and self-improving biology sounds familiar…🤔Can proteins perform neural network computation? Together with James Linton, @RonZhu2015, and @ElowitzLab, we had a lot of fun creating the "perceptein" -- a protein circuit that performs winner-take-all neural network computation in mammalian cells: biorxiv.org/content/10.110… (1/4)
- 🚨We are releasing a new #manuscript highlighting how our AI-based drug discovery platform can rapidly optimize parameters critical to drug development. 🔬Wet-lab data shows that our AI-generated protein drugs exhibit their designed qualities. Paper: biorxiv.org/content/10.110…
- Protein folding from single sequences is enabled by replacing MSAs with protein language models! Amazing how rapidly this field has evolved since we started with LM-based "contact prediction" in 2019 🚀Protein structure can be predicted from a single sequence alone with high accuracy. @HelixonBio team have developed OmegaFold, achieving performance similar to RF and AF2's MSA versions. Only a single sequence is given as input. 1/5
- I've been working on variants of this problem for my entire career, and have only dreamed of designing molecules on the computer with success rates this high. Proud of @chaidiscovery for pulling this off, and doing it with the speed, rigor and grace that was only imaginable ✨We’re excited to introduce Chai-2, a major breakthrough in molecular design. Chai-2 enables zero-shot antibody discovery in a 24-well plate, exceeding previous SOTA by >100x. Thread👇
00:00 - Chai-2 is now up on BioRxiv:Zero-shot antibody design in a 24-well plate @chaidiscovery 1. Researchers have introduced Chai-2, a multimodal generative model that marks a significant leap in de novo antibody and miniprotein design. This platform achieves an impressive 16% hit rate in de novo antibody
biorxiv.orgZero-shot antibody design in a 24-well plateDespite breakthroughs in protein design enabled by artificial intelligence, reliably designing functional antibodies from scratch has remained an elusive challenge. Recent works show promise but... - Excited to share an update to our work on evolutionary-scale modeling (ESM)! Over the past year, we rewrote our paper with better pretraining and downstream models, leading to state-of-the-art results across multiple benchmarks. (1/8) biorxiv.org/content/10.110…
- Folding proteins on Modal with @chaidiscovery Chai-1. Comprehensive guide with working code samples from the @modal_labs team.
- I'm excited to share that we're making this technology available for broad commercial use, starting today. It's been amazing to witness the rapid adoption of Chai-1. We can't wait to see all the ways it will accelerate drug discovery.Chai-1 has always been available for commercial use via our server. Today, we're also making Chai-1(r) code and weights available under an Apache 2.0 license, which permits broad commercial use. github.com/chaidiscovery/…
- 🧬 Dr. Mikael Dolsten is joining the @chaidiscovery board! In 15 years as @pfizer's Chief Scientific Officer he: ⚛️ Progressed 150 molecules to clinical trials 💊 Delivered 36 approved medicines, from vaccines to cancer therapies
00:00 - Replying to @joshim5We are releasing Chai-1 via a web interface for free, including for commercial applications such as drug discovery. We are also releasing the code for Chai-1 for non-commercial use as a software library. Web interface: lab.chaidiscovery.com Code: github.com/chaidiscovery/…
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