DLKcat Kcat Prediction
Predict Kcats of complexes using a protein sequence and compounds in SMILES format.
Overview
DLKcat uses a deep learning method to predict the Kcat between a protein sequence and an array of compounds
Run DLKcat Kcat Prediction on Neurosnap
The DLKcat Kcat Prediction online webserver allows anybody with a Neurosnap account to run and access DLKcat Kcat 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
- Predicts Kcats between a target protein and a selection of compounds.
- Offers fast predictions, allowing for Kcat comparisons between many compounds and protein variants.
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 DLKcat Kcat 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 DLKcat Kcat Prediction in publications or research outputs.
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Li, F. et al. "Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction", https://nature.com, 16 June 2022, https://www.nature.com/articles/s41929-022-00798-z. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |