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http://hdl.handle.net/10397/106993
Title: | FUEL-mLoc : feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organisms | Authors: | Wan, S Mak, MW Kung, SY |
Issue Date: | Mar-2017 | Source: | Bioinformatics, Mar. 2017, v. 33, no. 5, p. 749-750 | Abstract: | Although many web-servers for predicting protein subcellular localization have been developed, they often have the following drawbacks: (i) lack of interpretability or interpreting results with heterogenous information which may confuse users; (ii) ignoring multi-location proteins and (iii) only focusing on specific organism. To tackle these problems, we present an interpretable and efficient web-server, namely FUEL-mLoc, using Feature-Unified prediction and Explanation of multi-Localization of cellular proteins in multiple organisms. Compared to conventional localization predictors, FUEL-mLoc has the following advantages: (i) using unified features (i.e. essential GO terms) to interpret why a prediction is made; (ii) being capable of predicting both single- and multi-location proteins and (iii) being able to handle proteins of multiple organisms, including Eukaryota, Homo sapiens, Viridiplantae, Gram-positive Bacteria, Gram-negative Bacteria and Virus. Experimental results demonstrate that FUEL-mLoc outperforms state-of-the-art subcellular-localization predictors. | Publisher: | Oxford University Press | Journal: | Bioinformatics | ISSN: | 1367-4803 | EISSN: | 1367-4811 | DOI: | 10.1093/bioinformatics/btw717 | Rights: | © The Author 2016. Published by Oxford University Press. All rights reserved. This is a pre-copyedited, author-produced version of an article accepted for publication in Bioinformatics following peer review. The version of record Shibiao Wan, Man-Wai Mak, Sun-Yuan Kung, FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organisms, Bioinformatics, Volume 33, Issue 5, March 2017, Pages 749–750 is available online at: https://doi.org/10.1093/bioinformatics/btw717. |
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