Use ThermoMPNN
Official Neurosnap webserver for accessing ThermoMPNN online.
Overview
ThermoMPNN is a deep neural network designed to predict changes in protein stability resulting from point mutations, utilizing the protein's initial structure. By employing transfer learning, it leverages extensive datasets to enhance prediction accuracy. The model has demonstrated competitive performance on established benchmarks and is available as a tool for protein stability prediction and design.
Neurosnap Overview
The ThermoMPNN online webserver allows anybody with a Neurosnap account to run and access ThermoMPNN, 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 protein stability changes due to single or double point mutations.
- Features a Siamese neural network architecture for order-invariant double mutation predictions.
- Benchmarked against state-of-the-art models, demonstrating competitive or superior performance.
- Optimized for efficient predictions, with fast runtimes for single, additive, and epistatic modes.
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 ThermoMPNN 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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