Big news! We’ve teamed up with @adaptyvbio to take protein design to the next level. We design EGFR binders using RFDiffusion, ProteinMPNN, and ESMFold—and then use Adaptyv Bio API to send the designs straight to their lab for testing. 🧪🔥 From computer to the lab in one…
We all know that researchers spend a significant amount of time searching arXiv for relevant papers. In our spare time, we decided to tackle this problem head-on. Introducing AI-powered arXiv Search 🔥 🔍 : A tool that can quickly pinpoint and summarize research topics from…
DiffDock is now supported on NoLabs: github.com/BasedLabs/NoLa… Access it easily via APIs or using our Docking workflow, straight from your browser
After rewriting NoLabs virtually from the ground up, we are excited about the acceleration we are about to experience. For the last several weeks, we've been revising our infrastructure to make it scalable and easy to use. Now, we're all set to rapidly expand with new models…
new: "Structure-based, deep-learning models for protein-ligand binding affinity prediction" jcheminf.biomedcentral.com/articles/10.11…
Gonna start our own drug discovery research this year with our own infrastructure to push the boundaries and put some skin in the game
If you are a small lab struggling to have your own infrastructure with state of the art inference models for drug discovery or protein research we are here to help (let's chat)
We've been silent for quite some time but that's because we've been working really hard for this update: We now support uMol protein-ligand docking model, RFDiffusion for protein design and @openmm_toolkit with @GMX_TWEET for simulations🎉:
Grinding for the release this week 💻 While we are at it, does anybody know good ways to generate forcefields for unknown residues? Saw a couple of neural nets but curious what people generally do
Ultimate test for ASI is resolving python dependencies for different python versions
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