lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Use of Structural Phylogenetic Networks for Classification of the Ferritin-like Superfamily
Stockholm University ; KTH Royal Institute of Technology. (Jarone Pinhassi)ORCID iD: 0000-0002-8779-6464
University of Canterbury, New Zealand.
Stockholm University.
Stockholm University.
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.
Keyword [en]
Ferritin, Functional Prediction, Molecular Evolution, Phylogenetics, Protein Evolution, Protein Structure, Ribonucleotide Reductase
National Category
Evolutionary Biology
Research subject
Ecology, Evolutionary Biology
Identifiers
URN: urn:nbn:se:lnu:diva-50967DOI: 10.1074/jbc.M112.367458ISBN: 0021-9258, 1083-351X OAI: oai:DiVA.org:lnu-50967DiVA: diva2:912970
Available from: 2016-03-18 Created: 2016-03-17 Last updated: 2016-04-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Lundin, Daniel
In the same journal
Journal of Biological Chemistry
Evolutionary Biology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 54 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf