alexa Complexity and Entropy Analysis of DNA Methyltransferase
ISSN: 2153-0602

Journal of Data Mining in Genomics & Proteomics
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Research Article

Complexity and Entropy Analysis of DNA Methyltransferase

Xiaoli Xie1,2, Ying Yu2, George Liu3, Zhifa Yuan1 and Jiuzhou Song2*

1College of Science, Northwest A&F University, Yangling, 712100 P. R. China

2Department of Animal & Avian Sciences, University of Maryland, College Park, MD 20742, USA

3BFGL-ANRI, ARS, USDA, BARC-East, Beltsville, MD 20705-2350

*Corresponding Author:
Dr. Jiuzhou Song
Department of Animal & Avian Sciences
University of Maryland, College Park, MD 20742, USA
Tel: (301) 405-5943
Fax: (301) 405-7980
Email: [email protected]

Received date: November 28, 2010; Accepted date: December 27, 2010; Published date: December 30, 2010

Citation: Xie X, Yu Y, Liu G, Yuan Z, Song J (2010) Complexity and Entropy Analysis of DNA Methyltransferase. J Data Mining in Genom Proteomics 1:105. doi:10.4172/2153-0602.1000105

Copyright: © 2010 Xie X, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Background: The application of complexity information on DNA sequence and protein in biological processes are well established in this study. Available sequences for DNMT1 gene were thoroughly explored in the information complexities. DNMT1 gene is a maintenance methyltransferase responsible for copying DNA methylation patterns to the daughter strands during DNA replication in different species. Results: We found that the entropy of DNMT1 gene in different species is DNA base composition dependent, and its complexity in mammals is lower in introns than in coding regions. We also demonstrated the impacts of entropy on domains and non-domain(s) of the DNMT1 gene. The results from DNA and protein sequences indicated that DNA evolution has a tendency toward complexity. The most interest is that the methylation’s changes of the gene over aging in a unique chick model showed aging-driven entropy characteristics, which may give an explanation of aging processes. Conclusion: In summary, the information complexity of DNMT1 gene is related to its genomic composition, which thereby associates to evolutionary and aging processing, even though the intrinsic mechanism is not to be studied yet.


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