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…

Chai's small team got similar results to AlphaFold 3 in a few months of work! Here is what the model does and why it is useful: 1. You can encode proteins in a text string that describes them. If you have the sequence, you can usually make the protein (ie synthesize) 2. But

We deployed the following improvements to the Chai-1 lab today based on community feedback: - Support for PTMs, by using CCD codes - Email updates for completed jobs - Confidence scores (eg plddt) saved to PDB files - Faster computations

Today, I’m excited to share with you all the fruit of our effort at OpenAI to create AI models capable of truly general reasoning: OpenAI's new o1 model series! (aka 🍓) Let me explain 🧵 1/

Next Tuesday, we are super excited to have Matt McPartlon from Chai Discovery to share Chai-1, a foundation model for molecular structure prediction that performs at the state-of-the-art! Join us!