Protein Fold Stability Prediction
Predict protein stability from structure using ESM-IF.
Overview
This tool predicts absolute protein fold stability using a generative model for protein structures. It measures the theoretical deltaG at the chain level.
Run Protein Fold Stability Prediction on Neurosnap
The Protein Fold Stability Prediction online webserver allows anybody with a Neurosnap account to run and access Protein Fold Stability 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 absolute protein stability using the ESM generative model for protein structures.
- Measure theoretical deltaG at the chain level.
- Provides per-residue stability scores of the entire provided protein structure and DeltaG's of individual chains.
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 Protein Fold Stability 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 Protein Fold Stability Prediction in publications or research outputs.
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Cagiada, M. et al. "Predicting absolute protein folding stability using generative models", https://www.biorxiv.org/, 15 March 2024, https://www.biorxiv.org/content/10.1101/2024.03.14.584940v1. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |