EpHod Optimal Enzyme pH Prediction
EpHod is a semi-supervised language model that predicts optimal pH for enzymes from sequence alone.
Overview
EpHod is a semi-supervised language model that predicts optimal pH for enzymes from sequence alone. EpHod leverages learned biophysical features such as proximity to catalytic center, accessibility, and more.
Run EpHod Optimal Enzyme pH Prediction on Neurosnap
The EpHod Optimal Enzyme pH Prediction online webserver allows anybody with a Neurosnap account to run and access EpHod Optimal Enzyme pH 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 optimal functioning pH for given enzymes from protein sequences.
- Extremely fast batch prediction.
- Supports sequence inputs as text or FASTA files.
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 EpHod Optimal Enzyme pH 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 EpHod Optimal Enzyme pH Prediction in publications or research outputs.
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Japheth, E. G. et al. "Deep learning prediction of enzyme optimum pH", https://www.biorxiv.org/, 22 June 2023, https://www.biorxiv.org/content/10.1101/2023.06.22.544776v1. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |