AFcluster
Predict conformational substates using AlphaFold2 on multiple sequence alignments.
Overview
Predict conformational substates using AlphaFold2 on multiple sequence alignments. A clustering method by sequence similarity allows AlphaFold2 to sample alternate states.
Run AFcluster on Neurosnap
The AFcluster online webserver allows anybody with a Neurosnap account to run and access AFcluster, 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
- Predict alternative protein conformations.
- Sample clustering based on sequence similarity.
- Creates a 2D projection and cluster on the modeled proteins.
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 AFcluster 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 AFcluster in publications or research outputs.
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Wayment-Steele, H.K., Ojoawo, A., Otten, R. et al. Predicting multiple conformations via sequence clustering and AlphaFold2. Nature (2023). https://doi.org/10.1038/s41586-023-06832-9 |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |