Abstract
Linguistic analysis of protein sequences is an underexploited technique. Here, we capitalize on the concept of the lipogram to characterize sequences at the proteome levels. A lipogram is a literary composition which omits one or more letters. A protein lipogram likewise omits one or more types of amino acid. In this article, we establish a usable terminology for the decomposition of a sequence collection in terms of the lipogram. Next, we characterize Uniref50 using a lipogram decomposition. At the global level, protein lipograms exhibit power-law properties. A clear correlation with metabolic cost is seen. Finally, we use the lipogram construction to assign proteomes to the four branches of the tree-of-life: archaea, bacteria, eukaryotes and viruses. We conclude from this pilot study that the lipogram demonstrates considerable potential as an additional tool for sequence analysis and proteome classification.
Original language | English |
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Pages (from-to) | 109-116 |
Number of pages | 8 |
Journal | Journal of Theoretical Biology |
Volume | 430 |
Early online date | 15 Jul 2017 |
DOIs | |
Publication status | Published - 7 Oct 2017 |
Bibliographical note
© 2017, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/Keywords
- Amino Acid Sequence
- Archaea
- Bacteria
- Eukaryota
- Evolution, Molecular
- Pilot Projects
- Proteins/chemistry
- Proteome/classification
- Viruses