Abstract
Predicting mitochondrial localization of proteins remains challenging for two main reasons: (1) Not only one but several mitochondrial localization signals exist, which primarily dictate the final destination of a protein in this organelle. However, most localization prediction algorithms rely on the presence of a so-called presequence (or N-terminal mitochondrial targeting peptide, mTP), which occurs in only ~70% of mitochondrial proteins. (2) The presequence is highly divergent on sequence level and therefore difficult to identify on the computer.
In this chapter, we review a number of protein localization prediction programs and propose a strategy to predict mitochondrial localization. Finally, we give some helpful suggestions for bench scientists when working with mitochondrial protein candidates in silico.
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Sun, S., Habermann, B.H. (2017). A Guide to Computational Methods for Predicting Mitochondrial Localization. In: Mokranjac, D., Perocchi, F. (eds) Mitochondria. Methods in Molecular Biology, vol 1567. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6824-4_1
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DOI: https://doi.org/10.1007/978-1-4939-6824-4_1
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