CleaveNet Peptide Substrate Design
Predict MMP cleavage profiles and generate peptide substrates with tunable selectivity.
Overview
CleaveNet predicts cleavage profiles across 18 matrix metalloproteinases and generates peptide substrates with optional conditioning on a desired cleavage profile. Predictions are relative cleavage Z-scores, accompanied by standard deviations across five ensemble models.
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Features
- Predict cleavage Z-scores across the 18 MMPs represented in the released model.
- Generate substrates unconditionally or from target cleavage profiles.
- Compare transformer and LSTM predictor ensembles.
- Download cleavage predictions as CSV and generated peptides as FASTA.
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 CleaveNet Peptide Substrate 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 CleaveNet Peptide Substrate Design in publications or research outputs.
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CleaveNet: protease substrate prediction and generation. https://www.biorxiv.org/content/10.1101/2025.02.27.640681v1. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |