ABACUS-R Sequence Design
Use ABACUS-R to design protein sequences for a given backbone structure using an encoder-decoder model.
Overview
ABACUS-R designs sequences by predicting sidechains of a central residue based on its local three-dimensional environment. ABACUS-R predicts one high fidelity sequence that is then folded and returned.
Run ABACUS-R Sequence Design on Neurosnap
The ABACUS-R Sequence Design online webserver allows anybody with a Neurosnap account to run and access ABACUS-R Sequence Design, 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
- Uses an encoder-decoder to predict sequences using local 3-dimensional structural environments.
- Produces self-consistent sequences to a target backbone.
- Backed by X-Ray Crystallography experiments, showing state-of-the-art performance.
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 ABACUS-R Sequence Design 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 ABACUS-R Sequence Design in publications or research outputs.
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Liu, Y. et al., Rotamer-free protein sequence design based on deep learning and self-consistency, https://www.nature.com, 29 May 2023, https://www.nature.com/articles/s42003-023-04927-7. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |