ESM-2 for PTMs
Predict potential post translational modification sites from sequence data.
Overview
Predict potential post translational modification sites from sequence using ESM-2.
Run ESM-2 for PTMs on Neurosnap
The ESM-2 for PTMs online webserver allows anybody with a Neurosnap account to run and access ESM-2 for PTMs, 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
- Use ESM-2 model to find potential PTM sites.
- Finds longest regions of present or absent PTM sites.
- Analyze composition of total PTM sites.
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 ESM-2 for PTMs 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 ESM-2 for PTMs in publications or research outputs.
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Schreiber, A. (2023). ESMBind and QBind: LoRA, QLoRA, and ESM-2 for Predicting Binding Sites and Post Translational Modification. bioRxiv. doi:10.1101/2023.11.13.566930 |
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Rives, Alexander et al. "Evolutionary-scale prediction of atomic-level protein structure with a language model", https://www.science.org/, 16 March 2023, https://www.science.org/doi/10.1126/science.ade2574. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |