Kieren T Lythgow
A critical analysis of the combined usage of protein localization prediction methods: Increasing the number of independent data sets can reduce the accuracy of predicted mitochondrial localization
Lythgow, Kieren T; Hudson, Gavin; Andras, Peter; Chinnery, Patrick F
Authors
Gavin Hudson
Prof Peter Andras P.Andras@napier.ac.uk
Dean of School of Computing Engineering and the Built Environment
Patrick F Chinnery
Abstract
In the absence of a comprehensive experimentally derived mitochondrial proteome, several bioinformatic approaches have been developed to aid the identification of novel mitochondrial disease genes within mapped nuclear genetic loci. Often, many classifiers are combined to increase the sensitivity and specificity of the predictions.
Here we show that the greatest sensitivity and specificity are obtained by using a combination of seven carefully selected classifiers. We also show that increasing the number of independent prediction methods can paradoxically decrease the accuracy of predicting mitochondrial localization. This approach will help to accelerate the identification of new mitochondrial disease genes by providing a principled way for the selection for combination of appropriate prediction methods of mitochondrial localization of proteins.
Citation
Lythgow, K. T., Hudson, G., Andras, P., & Chinnery, P. F. (2011). A critical analysis of the combined usage of protein localization prediction methods: Increasing the number of independent data sets can reduce the accuracy of predicted mitochondrial localization. Mitochondrion, 11(3), 444-449. https://doi.org/10.1016/j.mito.2010.12.016
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 21, 2010 |
Online Publication Date | Dec 31, 2010 |
Publication Date | 2011-05 |
Deposit Date | Nov 8, 2021 |
Publicly Available Date | Nov 8, 2021 |
Journal | Mitochondrion |
Print ISSN | 1567-7249 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 3 |
Pages | 444-449 |
DOI | https://doi.org/10.1016/j.mito.2010.12.016 |
Keywords | Mitochondria, Proteome, Bioinformatics, Oxidative phosphorylation, Mitochondrial disease |
Public URL | http://researchrepository.napier.ac.uk/Output/2808935 |
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A critical analysis of the combined usage of protein localization prediction methods: Increasing the number of independent data sets can reduce the accuracy of predicted mitochondrial localization
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Publisher Licence URL
http://creativecommons.org/licenses/by/3.0/
Copyright Statement
Published under a Creative Commons Attribution 3.0 license.
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