ToxinPred Peptide Toxicity Prediction
Predict peptide toxicity from single protein sequences or in batch using an accelerated algorithm.
Overview
Accurately predict peptide toxicity from sequence using a MERCI motif based method in addition to machine learning models.
Run ToxinPred Peptide Toxicity Prediction on Neurosnap
The ToxinPred Peptide Toxicity Prediction online webserver allows anybody with a Neurosnap account to run and access ToxinPred Peptide Toxicity 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
- Uses a unique combination of machine learning methods and motif based approaches to predict peptide toxicity.
- Robustly predicts toxicity of many peptides in one experiment.
- Provides an easy-to-read chart with sequence names and their toxicity prediction label.
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 ToxinPred Peptide Toxicity 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 ToxinPred Peptide Toxicity Prediction in publications or research outputs.
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Gajendra, P.S. R. et al., ToxinPred 3.0: An improved method for predicting the toxicity of peptides, https://www.biorxiv.org, 14 August 2023, https://www.biorxiv.org/content/10.1101/2023.08.11.552911v1. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |