Exploring Poly-beta-hydroxybutyrate Metabolism Through Network-based Extreme Pathway Analysis.

The objective of this article is to obtain a more detailed insight into poly-beta-hydroxybutyrate (PHB) metabolism through network-based metabolic pathway analysis. We employ extreme pathways to perform this study, because calculating and interpreting extreme pathways is a promising way for pathway...

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Publicado en:Biology Forum / Rivista di Biologia Vol. 101; no. 1; pp. 67 - 80
Autores principales: Dewu Ding, Yanrui Ding, Yujie Cai, Shouwen Chen, Wenbo Xu
Formato: Artículo
Publicado: Fabrizio Serra Editore 2008
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Exploring Poly-beta-hydroxybutyrate Metabolism Through Network-based Extreme Pathway Analysis.
      aug:
        au:
          Dewu Ding
          Yanrui Ding
          Yujie Cai
          Shouwen Chen
          Wenbo Xu
        affil:
          State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China
          School of Information Technology, Jiangnan University, Wuxi 214036, China
          School of Biotechnology Key Laboratory of Industrial Biotechnology, Jiangnan University, Wuxi 214036, China
      su:
        Metabolism
        Poly-beta-hydroxybutyrate
        Butyric acid
        Poly-beta-hydroxyalkanoates
        Biochemistry
      sug:
        subj:
          Metabolism
          Poly-beta-hydroxybutyrate
          Butyric acid
          Poly-beta-hydroxyalkanoates
          Biochemistry
      keyword:
        elementary modes
        extreme pathways
        Metabolic networks
        metabolic pathways
        poly-beta-hydroxybutyrate metabolism
      ab: The objective of this article is to obtain a more detailed insight into poly-beta-hydroxybutyrate (PHB) metabolism through network-based metabolic pathway analysis. We employ extreme pathways to perform this study, because calculating and interpreting extreme pathways is a promising way for pathway analysis and metabolic engineering. After giving an in silico model of butanoate metabolism of Bacillus thuringiensis 97-27 (btk), extreme pathways were calculated and classified. Furthermore, the type I and II extreme pathways were further classified and analyzed in detail based on their structure and functional capabilities. Besides "historical" biochemical pathways, the results also suggest that there are some novel pathways.
      pubtype: Academic Journal
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    language: English
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      custom: Copyright of Biology Forum / Rivista di Biologia is the property of Fabrizio Serra Editore and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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