Pepsickle Proteasomal Cleavage Prediction
Predict proteasomal cleavage sites and probabilities from amino acid sequences.
Overview
Pepsickle predicts cleavage after each amino acid using its surrounding sequence context. Choose the epitope-based model or in-vitro models for constitutive proteasomes and immunoproteasomes, with optional experimental human-only training data.
Run Pepsickle Proteasomal Cleavage Prediction on Neurosnap
The Pepsickle Proteasomal Cleavage Prediction online webserver allows anybody with a Neurosnap account to run and access Pepsickle Proteasomal Cleavage Prediction, 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 per-residue cleavage probabilities with surrounding sequence context.
- Use epitope-based, in-vitro gradient-boosted, or experimental neural models.
- Distinguish constitutive proteasomes and immunoproteasomes in in-vitro modes.
- Download per-residue predictions and per-sequence summaries as CSV.
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 Pepsickle Proteasomal Cleavage Prediction 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 Pepsickle Proteasomal Cleavage Prediction in publications or research outputs.
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Pepsickle: a tool for proteasomal cleavage prediction. Bioinformatics. https://doi.org/10.1093/bioinformatics/btab628. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |