ESMFold2
Biohub all-atom ESMFold2 for proteins, nucleic acids, ligands, and complexes.
Overview
ESMFold2 is Biohub's all-atom structure-prediction model built on ESMC language-model representations and a diffusion structure module. It supports proteins, DNA, RNA, and small molecules in one prediction workflow, can use MSAs when available, and returns ranked mmCIF structures with confidence metrics for global fold quality and interfaces.
Run ESMFold2 on Neurosnap
The ESMFold2 online webserver allows anybody with a Neurosnap account to run and access ESMFold2, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.
Features
- All-atom inputs for proteins, DNA, RNA, and ligands.
- Optional MSA conditioning with single-sequence mode for faster exploratory folding.
- Diffusion sampling controls for ranked structure ensembles.
- pLDDT, PAE, pTM, ipTM, and pair-chain interface confidence outputs when emitted by the model.
Statistics
Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.
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API Request
Access ESMFold2 using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
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Citations
Please cite the original work when using ESMFold2 in publications or research outputs.
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Hayes, T. et al. Language Modeling Materializes a World Model of Protein Biology. 2026. |
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Mirdita, M., Schütze, K., Moriwaki, Y., Heo, L., Ovchinnikov, S., & Steinegger, M. (2022). ColabFold: making protein folding accessible to all. Nature Methods. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |