WoLF PSORT Protein Localization
Predicts subcellular localization sites from protein sequence.
Overview
WoLF PSORT is an enhanced protein subcellular location prediction model based on amino acid sequences. It utilizes sorting signals, amino acid composition, and functional motifs to generate numerical localization features. These features are then used by a k-nearest neighbor classifier for predictions.
Run WoLF PSORT Protein Localization on Neurosnap
The WoLF PSORT Protein Localization online webserver allows anybody with a Neurosnap account to run and access WoLF PSORT Protein Localization, 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
- Uses a modied kNN algorithm to predict the location of protein sequences.
- Designed for multi-kingdom use: animal, plant, fungi.
- Converts protein amino acid sequences into numerical localization features, incorporating sorting signals, amino acid composition, and functional motifs, such as DNA-binding motifs, for robust predictions.
- Utilizes a straightforward k-nearest neighbor (kNN) classifier for efficient and reliable subcellular location predictions.
- Offers users the ability to gain insights into the basis of predictions, helping them assess the reliability of predictions for specific proteins.
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 WoLF PSORT Protein Localization 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 WoLF PSORT Protein Localization in publications or research outputs.
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Kenta, Nakai et al. "WoLF PSORT: protein localization predictor", academic.oup.com, 01 July 2007, 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/ |