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Biohub develops the Biohub Platform to accelerate biological research. The platform provides open access to advanced AI models, curated datasets, and interactive tools. It hosts the ESM family of protein language models (ESMC, ESMFold2, and ESM3), the ESM Atlas consisting of 1B+ predicted protein structures, and interactive applications for structure prediction and protein design.
You don’t need an account to browse models, datasets, documentation, tools, or the ESM Atlas. To bypass daily request limits or access the API, create a free account.
Biohub.ai provides access to the ESM family of protein AI models and associated datasets.Models include:
  • ESMC (ESM Cambrian): A next-generation protein representation learning model available at 300M, 600M, and 6B parameter scales. ESMC is a drop-in replacement for ESM2 with major performance and efficiency gains.
  • ESMFold2: Structure prediction from a single DNA, RNA or protein sequence.
  • ESM3: A multimodal generative model that reasons jointly across protein sequence, structure, and function. Available at 1.4B, 7B, and 98B parameter scales.
Data includes:
  • The ESM Atlas: A protein database built from over 6 billion protein sequences extracted from metagenomic sources. The Atlas includes predicted structures for 1 billion proteins, sparse autoencoder (SAE) features for all 6 billion proteins, and cluster assignments with metadata for 10–100 million cluster representatives. The Atlas Explorer lets you browse and search cluster representatives interactively, and bulk downloads are available via S3.
Refer to the Model pages for full details.
You can get started in several ways:
  • Open-weight models: Download from Hugging Face to run locally.
  • GitHub: Access model code and tutorials.
  • API access: Use the Python SDK to run inference programmatically. Install the esm package via pip and authenticate with your API token.
  • Fold app: Interactive web application for structure prediction. Requires a free account.
  • Tutorials and quickstart guides: Available for each model (ESMC, ESMFold2, ESM3) to walk you through common workflows.
Visit the model-specific pages (ESMC, ESMFold2, ESM3) to explore what’s available and find a starting point for your research.
You can access ESM models through the Biohub Platform API. In addition:
  • Many models, including ESMC, ESMFold2, and ESM3-open, are also available as open-source releases on GitHub and Hugging Face under the MIT License.
  • Each model card identifies the available access methods and applicable terms.
  • To get API access to variants of ESM3 apart from ESM3-open, fill out this form with your project details and desired model.
You can access datasets through AWS S3 via Model pages (ESMC, ESMFold2, ESM3) or the ESM Atlas. For some datasets, processed data or data processing scripts are also available for download, making it easier to train and validate your own models.
Click the “Contact Us” or “Slack” button on the lower left-hand sidebar.
Yes. Biohub uses cookies and similar technologies to improve the website, personalize content, and provide a better experience while you use the platform. View our cookie policy for more information.
Yes. The platform uses guardrails that detect and restrict keywords and sequences corresponding to controlled pathogens and toxins. There are many legitimate reasons to use AI models to understand and model these sequences. If you’re a researcher and want access to guardrails-free models and data for research purposes, complete this short form.
Yes. Biohub may make minor updates to the models behind the APIs and releases new models under new identifiers. When that happens, older models may become unavailable. Biohub doesn’t currently guarantee how long specific models remain available, but may introduce per-model availability guarantees over time. Biohub communicates model deprecations clearly and well in advance.
Your use of Biohub.ai is subject to our Terms of Use and Privacy Policy. By submitting inputs or otherwise using Biohub.ai, you agree to those terms.
Biohub.ai is the AI platform built and maintained by Biohub, a nonprofit research institute created by the Chan Zuckerberg Initiative (CZI). Biohub is building the first large-scale scientific initiative that combines advanced AI with biology research to solve disease. In 2025, EvolutionaryScale joined Biohub to accelerate this mission. You can now access the ESM family of protein language models through Biohub.ai.
EvolutionaryScale Forge (forge.evolutionaryscale.ai) is now part of Biohub.ai. Models, datasets, and apps from both platforms are now available in one place. Biohub transferred your existing Forge account data and API tokens, so you can sign in and continue your work. If you have issues accessing your account, click the “Contact Us” button on the lower left-hand sidebar.
The ESM Atlas is a database of 1 billion predicted protein structures generated from metagenomic sequences using ESMFold2. It covers a wide range of proteins from environmental sequencing that have no experimentally determined structure. You can search, browse, and download structures from the Atlas directly on Biohub.ai. The Atlas is freely available for academic and commercial use.
The Biohub Platform offers interactive tools that let you use ESM models without writing code:
  • Fold: Predict the 3D structure of a protein from its amino acid sequence, DNA or RNA using ESMFold2.
  • ESM Atlas: Explore over 1 billion predicted protein structures from metagenomic sequences, with searchable cluster representatives, SAE features, and bulk downloads via S3.