FUEL-mLoc
:: DESCRIPTION
FUEL-mLoc is an interpretable multi-label predictor which uses unified features to yield sparse and interpretable solutions for large-scale prediction of both single-label and multi-label proteins of different species, including eukaryota, human, plant, Gram-positive bacteria. Gram-negative bacteria and virus. Given a query protein sequence in a particular species, a set of GO terms are retrieved from a newly created compact databases, namely ProSeq-GO.
::DEVELOPER
:: SCREENSHOTS
N/A
::REQUIREMENTS
- Web browser
:: DOWNLOAD
:: MORE INFORMATION
Citation
Wan S, Mak MW, Kung SY.
FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organisms.
Bioinformatics. 2017 Mar 1;33(5):749-750. doi: 10.1093/bioinformatics/btw717. PMID: 28011780.