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  Context-Specific Independence Mixture Modelling for Protein Families.

Georgi, B., Schultz, J., & Schliep, A. (2007). Context-Specific Independence Mixture Modelling for Protein Families. In J. Kok, J. Koronacki, R. Lopez de Mantaras, S. Matwin, D. Mladenic, & A. Skowron (Eds.), Knowledge Discovery in Databases: PKDD 2007 (pp. 79-90). Berlin/Heidelberg: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-817C-D Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-817D-B
Genre: Book Chapter

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 Creators:
Georgi, Benjamin1, Author
Schultz, Jörg, Author
Schliep, Alexander2, Author           
Affiliations:
1Max Planck Society, ou_persistent13              
2Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433547              

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 Abstract: Protein families can be divided into subgroups with functional differences. The analysis of these subgroups and the determination of which residues convey substrate specificity is a central question in the study of these families. We present a clustering procedure using the context-specific independence mixture framework using a Dirichlet mixture prior for simultaneous inference of subgroups and prediction of specificity determining residues based on multiple sequence alignments of protein families. Application of the method on several well studied families revealed a good clustering performance and ample biological support for the predicted positions. The software we developed to carry out this analysis PyMix - the Python mixture package is available from http://www.algorithmics.molgen.mpg.de/pymix.html.

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Language(s): eng - English
 Dates: 2007-08-30
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 335948
DOI: 10.1007/978-3-540-74976-9_11
URI: http://www.springerlink.com/content/m0x2g36161504443/fulltext.pdf
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Title: Knowledge Discovery in Databases: PKDD 2007
Source Genre: Book
 Creator(s):
Kok, J.N., Editor
Koronacki, J., Editor
Lopez de Mantaras, R., Editor
Matwin, S., Editor
Mladenic, D., Editor
Skowron, A., Editor
Affiliations:
-
Publ. Info: Berlin/Heidelberg : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 79 - 90 Identifier: -

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Title: Lecture Notes in Computer Science
Source Genre: Series
 Creator(s):
Hofmann, Alfred, Editor
Affiliations:
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Publ. Info: -
Pages: - Volume / Issue: 4202 Sequence Number: - Start / End Page: - Identifier: ISSN: 0302-9743