title: Metabolism evolution based on network degrees of orthologous enzymes.
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.
authors.affiliation: G.H. Patel P.G. Dept. of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India. kirtandave11@gmail.com
authors.forename: Kirtan
authors.initials: K
authors.lastname: Dave
authors.forename: Hetalkumar
authors.initials: H
authors.lastname: Panchal
mesh_terms: D000818:Animals; D053898:Biosynthetic Pathways; D004798:Enzymes / Q000378:metabolism*; D019143:Evolution, Molecular; D006801:Humans; D053858:Metabolic Networks and Pathways
chemical_list: D004798:Enzymes