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Use of Structural Phylogenetic Networks for Classification of the Ferritin-like Superfamily
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
2012 (English)In: Journal of Biological Chemistry, ISSN 0021-9258, E-ISSN 1083-351X, Vol. 287, no 24, 20565-20575 p.Article in journal (Refereed) Published
Abstract [en]

In the postgenomic era, bioinformatic analysis of sequence similarity is an immensely powerful tool to gain insight into evolution and protein function. Over long evolutionary distances, however, sequence-based methods fail as the similarities become too low for phylogenetic analysis. Macromolecular structure generally appears better conserved than sequence, but clear models for how structure evolves over time are lacking. The exponential growth of three-dimensional structural information may allow novel structure-based methods to drastically extend the evolutionary time scales amenable to phylogenetics and functional classification of proteins. To this end, we analyzed 80 structures from the functionally diverse ferritin-like superfamily. Using evolutionary networks, we demonstrate that structural comparisons can delineate and discover groups of proteins beyond the twilight zone where sequence similarity does not allow evolutionary analysis, suggesting that considerable and useful evolutionary signal is preserved in three-dimensional structures.

Place, publisher, year, edition, pages
2012. Vol. 287, no 24, 20565-20575 p.
National Category
Biochemistry and Molecular Biology
Identifiers
URN: urn:nbn:se:su:diva-80001DOI: 10.1074/jbc.M112.367458ISI: 000306414500077OAI: oai:DiVA.org:su-80001DiVA: diva2:555299
Note

AuthorCount:4;

Available from: 2012-09-19 Created: 2012-09-12 Last updated: 2017-12-07Bibliographically approved

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Sjöberg, Britt-MarieHögbom, Martin
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