Interdisciplinary Bio Central
 
Etc. (Bioinformatics/Computational biology/Molecular modeling)

Revealing Regulatory Networks of DNA Repair Genes in S. Cerevisiae
Min-sung Kim1, Doheon Lee2 and Gwan-Su Yi1,*
1Computational Systems Biology Laboratory, Information and Communication University, South Korea
2Dept. of Biosystems, KAIST, South Korea
*Corresponding author
  Published : February 28, 2007
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Synopsis

DNA repair means a collection of processes that a cell identifies and corrects damage to genome sequence. The DNA repair processes are important because a genome would not be able to maintain its essential cellular functions without the processes. In this research, we make some gene regulatory networks of DNA repair in S. cerevisiae to know how each gene interact with others. Two approaches are adapted to make the networks; Bayesian Network and ARACNE. After construction of gene regulatory networks based on the two approaches, the two networks are compared to each other to predict which genes have important roles in the DNA repair process by finding conserved interactions and looking for hubs. In addition, each interaction between genes in the networks is validated with interaction information in S. cerevisiae genome database to support the meaning of predicted interactions in the networks.

Keyword: Bayesian Network, DNA Repair, S. Cerevisiae, ARACNE
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