Abstract
The evolution of orthologous proteins opens a new era of research where the concepts of orthology and paralogy have become more and more substantial, as the whole-genome comparison allows their identification in complete genomes. Functional specificity of proteins is understood to be conserved among orthologs but it shows much more variability among paralogs. We used this laying claim to identify inter-species interactions based on orthologous protein networks which are crucial for understanding the evolution of orthologous proteins. We analyzed six classes of enzymatic protein sequence data using the node degrees of orthologous proteins. The results demonstrated the evolutionary importance of the fatty acid syntheses and the photosynthetic system in algae. Methods which have successfully exploited network structure at many different levels of detail are a cornerstone of systems biology.
Keywords: Orthology, Network degree, Enzyme, System biology.
Current Topics in Medicinal Chemistry
Title:Metabolism Evolution Based on Network Degrees of Orthologous Enzymes
Volume: 13 Issue: 5
Author(s): Kirtan Dave and Hetalkumar Panchal
Affiliation:
Keywords: Orthology, Network degree, Enzyme, System biology.
Abstract: The evolution of orthologous proteins opens a new era of research where the concepts of orthology and paralogy have become more and more substantial, as the whole-genome comparison allows their identification in complete genomes. Functional specificity of proteins is understood to be conserved among orthologs but it shows much more variability among paralogs. We used this laying claim to identify inter-species interactions based on orthologous protein networks which are crucial for understanding the evolution of orthologous proteins. We analyzed six classes of enzymatic protein sequence data using the node degrees of orthologous proteins. The results demonstrated the evolutionary importance of the fatty acid syntheses and the photosynthetic system in algae. Methods which have successfully exploited network structure at many different levels of detail are a cornerstone of systems biology.
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Cite this article as:
Dave Kirtan and Panchal Hetalkumar, Metabolism Evolution Based on Network Degrees of Orthologous Enzymes, Current Topics in Medicinal Chemistry 2013; 13 (5) . https://dx.doi.org/10.2174/1568026611313050009
DOI https://dx.doi.org/10.2174/1568026611313050009 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
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