Generating data to power the next era of pharmacological intelligence. Every drug vs. Every target. Nurtured by @Convergent_FROs, philanthropically funded.

Durham, NC
Joined March 2023
We're excited to be part of the new Hugging Science site on @huggingface. Great to see scientific datasets and models getting a dedicated space! Our latest data release brings us to 228 protein targets with over 500,000 systematic drug-target interaction measurements.
🤗🤗🤗introducing Hugging Science -- the home of AI for science 🤗🤗🤗 open models and datasets are the powerhouse of science (see the PDB), but finding the models and data you actually need for your breakthrough is hard af you shouldn't need to scrape arxiv, own your own wetlab, fight a custom HDF5 parser, build a fusion stellarator, and beg for compute before you've trained a single epoch so we're changing that we've put all the best science on @huggingface in one place: - 78GB of genomics data - 11TB of PDE simulations - 100M cell profiles - 9T DNA base pairs - 13M molecular trajectories - 400k medical QA pairs and much more, all open, and all ready for training (+ you can also now filter and search by domain, task, and keyword) we've put together all the biggest releases from our partners at NASA, Google, OpenAI, Meta FAIR, Arc Institute, Ginkgo, SandboxAQ, Proxima Fusion, NVIDIA, Ai2, OpenADMET, InstaDeep, Future House, Polymathic AI, LeMaterial, Earth Species Project, Merck, and Eve Bio if you're not sure where you fit in -- work on open challenges for problems that matter: including fusion stellarator design, ADMET, antibody developability, multilingual medicine, catalysis and materials, and scientific reasoning. we're already changing how science gets done: a fusion startup needed a benchmark for stellarator plasma confinement that didn't exist. @proximafusion shipped ConStellaration on Hugging Science: a leaderboard, dataset, and eval metrics, all in one place. a drug discovery team wanted to predict hPXR induction. OpenADMET put up a blind challenge: 11,000+ compounds assayed at Octant, 513 held out, two tracks (pEC50 + structure). Anyone in the world can train and submit. an antibody team at @Ginkgo released GDPa1, a developability dataset for stability, manufacturability, and immunogenicity prediction, with a live leaderboard scoring every submission. if you know a problem the ML community should be working on, let us know. make a challenge! this is about putting all the tools for solving science in one place. so we can hillclimb! → huggingscience.co
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Alzheimer’s is one of the most devastating diseases, killing ~2 million people globally each year and costing over $1 trillion annually. It also remains one of the hardest unsolved problems in medicine. We believe advanced AI can help change that: openaifoundation.org/news/ai…
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EvE Bio is partnering with @FoundationOAI on their AI for Alzheimer's initiative! Allosteric modulators hold promise as Alzheimer's drugs, but designing them is hard. AI models could help...if they had the right data. That's where we come in.
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More on what we're doing and why: evebio.org/eve-bio-partners-…
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We're busy here at EvE Bio generating drug-target interaction data for GPCR, NR, and kinase targets. Meanwhile, we're expanding our compounds and we want your input! Our current library has 1,300 approved small molecule and peptide drugs. The next will include 6 categories: 🧵
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6) Compounds in widespread human use, even if not FDA approved
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What would you like to see us include?
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New data is live!! With 25 new kinases, we have a total of 420,497 drug-target interaction results! There are multiple ways to access the dataset 🧵
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Download data files by filling out the form here 🔗 data.evebio.org/ Multiple versions are available depending on your use case, from viewing summary results in a spreadsheet to building ML models.
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Academic users of @DrugBankDB can also check our integration there: go.drugbank.com/evebio
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It's the final day of our data release preview -- data will be posted tomorrow! The last five new targets to preview are metabolic and regulatory kinases: YES, FER, FES, PASK1, and CCK2
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The 25 new kinases added tomorrow will bring EvE's dataset to 67 total kinases, in addition to 85 7-transmembrane receptors and 32 nuclear receptors. All of these have activity measurements (or confirmed inactivity) for our 1,400 compound small molecule drug library.
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