RealKcat
Predict kcat and Km class ranges from one enzyme sequence and a substrate panel.
Overview
RealKcat predicts enzyme kinetic parameter ranges for kcat and Km from an enzyme amino-acid sequence and one or more substrate molecules.
Run RealKcat on Neurosnap
The RealKcat online webserver allows anybody with a Neurosnap account to run and access RealKcat, 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
- Predicts both kcat and Km ranges in a single run.
- Uses ESM-2 embeddings for enzymes and ChemBERTa embeddings for substrates.
- Supports screening one enzyme against a panel of substrates.
- Returns discrete kinetic ranges that are useful for early triage and prioritization.
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 RealKcat 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 RealKcat in publications or research outputs.
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Sajeevan, A.K. et al. Robust Prediction of Enzyme Variant Kinetics with RealKcat. bioRxiv (2025). https://doi.org/10.1101/2025.02.10.637555 |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |