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The Relationship between Functional and Evolutionary Correlations of Enzyme Reactions in Metabolic Network Evolution
Luo, Hao; Shen, Tie; Xie, Xiaoyao.
  • Luo, Hao; Guizhou University. College of Computer Science and Technology. Guiyang. CN
  • Shen, Tie; Guizhou Normal University. Key Laboratory of Information and Computing Science Guizhou Province. Guiyang. CN
  • Xie, Xiaoyao; Guizhou Normal University. Key Laboratory of Information and Computing Science Guizhou Province. Guiyang. CN
Braz. arch. biol. technol ; 64: e21190480, 2021. tab, graf
Article in English | LILACS | ID: biblio-1278442
Responsible library: BR1.1
ABSTRACT
Abstract The evolution of species is inevitably accompanied by the evolution of metabolic networks to adapt to different environments. The metabolic networks of different species were collected from the Kyoto Encyclopedia of Genes and Genomes (KEGG) website, and some enzyme reactions with the highest occurrence frequency in all species were found and are reported in this paper. The correlation coefficients of whether the enzyme reactions appear in all species were calculated, and the corresponding evolutionary correlation connection networks were calculated according to different correlation coefficient thresholds. These studies show that, as the evolutionary correlation of enzyme reactions increases, the weighted average of the mean functional concentration ratios of the enzyme reactions also increases, indicating that the functional concentration ratio of enzyme reactions has a certain correlation with the evolutionary correlation. The work presented in this paper enhances our understanding of the characteristics and general rules of metabolic network evolution.
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Full text: Available Index: LILACS (Americas) Main subject: Enzyme Activation / Metabolic Networks and Pathways Language: English Journal: Braz. arch. biol. technol Journal subject: Biology Year: 2021 Type: Article Affiliation country: China Institution/Affiliation country: Guizhou Normal University/CN / Guizhou University/CN

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Full text: Available Index: LILACS (Americas) Main subject: Enzyme Activation / Metabolic Networks and Pathways Language: English Journal: Braz. arch. biol. technol Journal subject: Biology Year: 2021 Type: Article Affiliation country: China Institution/Affiliation country: Guizhou Normal University/CN / Guizhou University/CN