ProtNLM
Predict protein annotations from sequence using ProtNLM.
Overview
Predict protein names and annotations from sequence alone using Attention Networks.
Run ProtNLM on Neurosnap
The ProtNLM online webserver allows anybody with a Neurosnap account to run and access ProtNLM, 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 name and function annotations of amino acids sequences.
- ProtNLM has been evaluated and vetted by expert curators of the Pfam and UniProt databases.
- Uses Attention Network, ProtNLM previously annotated ~49 million uncharacterized proteins in partnership with UniProt.
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 ProtNLM 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 ProtNLM in publications or research outputs.
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Colwell, Lucy et al. "ProtNLM: Model-based Natural Language Protein Annotation", https://research.google/, 2023, https://doi.org/10.1093/nar/gkm259. |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |