TEMPRO Nanobody Melting Temperature Prediction
Predict nanobody melting temperature directly from amino-acid sequence.
Overview
TEMPRO predicts nanobody melting temperature from sequence using ESM-2 embeddings and a pretrained regression model.
Run TEMPRO Nanobody Melting Temperature Prediction on Neurosnap
The TEMPRO Nanobody Melting Temperature Prediction online webserver allows anybody with a Neurosnap account to run and access TEMPRO Nanobody Melting Temperature 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 nanobody melting temperature directly from amino-acid sequence without a structure input.
- Supports batch submission for comparing multiple nanobody candidates in one run.
- Returns a simple CSV with sequence names, input sequences, and predicted melting temperatures.
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 TEMPRO Nanobody Melting Temperature 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 TEMPRO Nanobody Melting Temperature Prediction in publications or research outputs.
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Alvarez, J.A.E. and Dean, S.N. "TEMPRO: nanobody melting temperature estimation model using protein embeddings", https://www.nature.com/, 16 August 2024, https://doi.org/10.1038/s41598-024-70101-6. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |