MDAT- Aligning multiple domain arrangements

Background: Proteins are composed of domains, protein segments that fold independently from the rest of the protein and have a specific function. During evolution the arrangement of domains can change: domains are gained, lost or their order is rearranged. To facilitate the analysis of these changes...

Verfasser: Kemena, Carsten
Bitard-Feildel, Tristan
Bornberg-Bauer, Erich
Dokumenttypen:Artikel
Medientypen:Text
Erscheinungsdatum:2015
Publikation in MIAMI:28.05.2015
Datum der letzten Änderung:26.10.2023
Angaben zur Ausgabe:[Electronic ed.]
Quelle:BMC Bioinformatics 16 (2015) 19, 1-7
Schlagwörter:Domain arrangement; Multiple alignment
Fachgebiet (DDC):570: Biowissenschaften; Biologie
Lizenz:CC BY 4.0
Sprache:English
Anmerkungen:Finanziert durch den Open-Access-Publikationsfonds 2014/2015 der Deutschen Forschungsgemeinschaft (DFG) und der Westfälischen Wilhelms-Universität Münster (WWU Münster).
Format:PDF-Dokument
ISSN:1471-2105
URN:urn:nbn:de:hbz:6-09259509297
Weitere Identifikatoren:DOI: doi:10.1186/s12859-014-0442-7
Permalink:https://nbn-resolving.de/urn:nbn:de:hbz:6-09259509297
Onlinezugriff:s12859-014-0442-7.pdf

Background: Proteins are composed of domains, protein segments that fold independently from the rest of the protein and have a specific function. During evolution the arrangement of domains can change: domains are gained, lost or their order is rearranged. To facilitate the analysis of these changes we propose the use of multiple domain alignments. Results: We developed an alignment program, called MDAT, which aligns multiple domain arrangements. MDAT extends earlier programs which perform pairwise alignments of domain arrangements. MDAT uses a domain similarity matrix to score domain pairs and aligns the domain arrangements using a consistency supported progressive alignment method. Conclusion: MDAT will be useful for analysing changes in domain arrangements within and between protein families and will thus provide valuable insights into the evolution of proteins and their domains. MDAT is coded in C++, and the source code is freely available for download at http://www.bornberglab.org/pages/mdat