de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Impressum Kontakt Einloggen
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

The GD box: A widespread non-contiguous supersecondary structural element

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons83949

Dunin-Horkawicz S, Habeck,  M
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Alva, V., Dunin-Horkawicz S, Habeck, M., Coles, M., & Lupas, A. (2009). The GD box: A widespread non-contiguous supersecondary structural element. Protein Science, 18(9), 1961-1966. doi:10.1002/pro.207.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-C3F7-3
Zusammenfassung
Identification and characterization of recurrent supersecondary structural elements is central to understanding the rules governing protein tertiary structure. Here we describe the GD box, a widespread non-contiguous supersecondary element, which we initially found in a group of topologically distinct but homologous beta-barrels - the cradle-loop barrels. The GD box is similar both in sequence and structure and comprises two short unpaired beta-strands connected by an orthogonal type-II beta-turn and a non-contiguous beta-strand forming hydrogen bonds with the beta-turn. Using structure-based analysis, we have detected 518 instances of the GD box in a non-redundant subset of the SCOP database comprising 3771 domains. Apart from the cradle-loop barrels, this motif is also found in a diverse set of non-homologous folds including other topologically related beta-barrels. Since non-local interactions are fundamental in the formation of protein structure, systematic identification and characterization of other non -contiguous supersecondary structural elements is likely to prove valuable to protein structure modeling, validation, and prediction.