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  About the interrelation of evolutionary rate and protein age

Luz, H., Staub, E., & Vingron, M. (2006). About the interrelation of evolutionary rate and protein age. Genome Informatics: Japanese Society for Bioinformatics, 17(1), 240-250.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-84EE-C Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-84EF-A
Genre: Conference Paper

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IBSB06F023.pdf (Any fulltext), 196KB
 
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 Creators:
Luz, Hannes1, Author              
Staub, Eike2, Author
Vingron, Martin3, Author              
Affiliations:
1Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              
2Max Planck Society, ou_persistent13              
3Gene regulation (Martin Vingron), Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1479639              

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Free keywords: protein evolution, evolutionary rates, gene age, gene duplication
 Abstract: Evolutionary rate and gene age are interrelated when the age of a gene is assessed by the taxonomic distribution in the gene family. This is because homology detection by sequence comparison is depending on sequence similarity. We estimate family specific rates of protein evolution for orthologous families with representatives from man, fugu, fly, and worm. In fact, we observe that younger proteins tend to evolve faster than older ones. We estimate time points of duplication events that gave rise to novel protein functions and show that younger proteins were duplicated more recently than older ones.

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Language(s): eng - English
 Dates: 2006-01-01
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 309737
 Degree: -

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Title: Sixth International Workshop on Bioinformatics and Systems Biology
Place of Event: Boston University, USA
Start-/End Date: 2006-07-24 - 2006-07-26

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Title: Genome Informatics : Japanese Society for Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 17 (1) Sequence Number: - Start / End Page: 240 - 250 Identifier: -