The plexus model for the inference of ancestral multidomain proteins

Wiedenhoeft, J.; Krause, R.; Eulenstein, O.

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The plexus model for the inference of ancestral multidomain proteins

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Wiedenhoeft, J.
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Krause, R.
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Citation

Wiedenhoeft, J., Krause, R., & Eulenstein, O. (2011). The plexus model for the inference of ancestral multidomain proteins. IEEE/ACM Trans Comput Biol Bioinform, 8(4), 890-901. Retrieved from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=21282868 http://ieeexplore.ieee.org/ielx5/8857/5770281/05708135.pdf?tp=&arnumber=5708135&isnumber=5770281.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-7932-7

Abstract

Interactions of protein domains control essential cellular processes. Thus, inferring the evolutionary histories of multidomain proteins in the context of their families can provide rewarding insights into protein function. However, methods to infer these histories are challenged by the complexity of macroevolutionary events. Here, we address this challenge by describing an algorithm that computes a novel network-like structure, called plexus, which represents the evolution of domains and their combinations. Finally, we demonstrate the performance of this algorithm with empirical data sets.