DeepLoc
DeepLoc is a bioinformatics software tool that predicts the subcellular localization of eukaryotic proteins using deep neural networks. The software relies solely on sequence information and uses a recurrent neural network and an attention mechanism to identify important protein regions. DeepLoc was trained and tested on a protein dataset extracted from UniProt and achieved high accuracy (78% for 10 categories; 92% for membrane-bound or soluble), outperforming state-of-the-art algorithms that rely on homology information. DeepLoc is available as a web server, and example code and dataset are also available.
Topic
Sequence analysis;Protein properties
Detail
Operation: Protein subcellular localisation prediction
Software interface: Web service
Language: -
License: -
Cost: Free
Version name: 2.0
Credit: Novo Nordisk Foundation and the NVIDIA Corporation
Input: -
Output: Predicted localizations and signals, Probability table, Sorting signal importance
Contact: Henrik Nielsen hnielsen@cbs.dtu.dk,José Juan Almagro Armenteros jjalma@dtu.dk
Collection: -
Maturity: Stable
Publications
- DeepLoc: prediction of protein subcellular localization using deep learning.
- Almagro Armenteros JJ, et al. DeepLoc: prediction of protein subcellular localization using deep learning. DeepLoc: prediction of protein subcellular localization using deep learning. 2017; 33:3387-3395. doi: 10.1093/bioinformatics/btx431
- https://doi.org/10.1093/bioinformatics/btx431
- PMID: 29036616
- PMC: -
Download and documentation
Source: https://services.healthtech.dtu.dk/services/DeepLoc-2.0/
Documentation: https://services.healthtech.dtu.dk/services/DeepLoc-2.0/
Home page: https://services.healthtech.dtu.dk/services/DeepLoc-2.0/
< Back to DB search