Literature DB >> 15712127

Extraction of phylogenetic network modules from prokayrote metabolic pathways.

Takuji Yamada1, Susumu Goto, Minoru Kanehisa.   

Abstract

In the post-genomic era, it is important to analyze interaction networks that include genes, proteins, enzymes and compounds such as a metabolic pathway. Every organism has such networks individually. However, several parts of them are conserved in different organisms. The purpose of this analysis is to extract sub-networks composed of these common elements through the phylogenetic analysis. We extracted network modules from metabolic pathways using phylogenetic profile and cluster analysis. The enzymes of these modules are related by evolutionary and functional correlation. Our results give a valuable insight into the evolution of metabolic pathways.

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Year:  2004        PMID: 15712127

Source DB:  PubMed          Journal:  Genome Inform        ISSN: 0919-9454


  9 in total

Review 1.  Practical and theoretical advances in predicting the function of a protein by its phylogenetic distribution.

Authors:  Philip R Kensche; Vera van Noort; Bas E Dutilh; Martijn A Huynen
Journal:  J R Soc Interface       Date:  2008-02-06       Impact factor: 4.118

2.  Functional association prediction by community profiling.

Authors:  Dazhi Jiao; Wontack Han; Yuzhen Ye
Journal:  Methods       Date:  2017-04-26       Impact factor: 3.608

3.  Prediction of functional modules based on comparative genome analysis and Gene Ontology application.

Authors:  Hongwei Wu; Zhengchang Su; Fenglou Mao; Victor Olman; Ying Xu
Journal:  Nucleic Acids Res       Date:  2005-05-18       Impact factor: 16.971

4.  Reusable building blocks in biological systems.

Authors:  Victor Mireles; Tim O F Conrad
Journal:  J R Soc Interface       Date:  2018-12-21       Impact factor: 4.118

5.  Phylogenetic analysis of modularity in protein interaction networks.

Authors:  Sinan Erten; Xin Li; Gurkan Bebek; Jing Li; Mehmet Koyutürk
Journal:  BMC Bioinformatics       Date:  2009-10-14       Impact factor: 3.169

6.  A network-based approach for predicting missing pathway interactions.

Authors:  Saket Navlakha; Anthony Gitter; Ziv Bar-Joseph
Journal:  PLoS Comput Biol       Date:  2012-08-16       Impact factor: 4.475

7.  Extraction of phylogenetic network modules from the metabolic network.

Authors:  Takuji Yamada; Minoru Kanehisa; Susumu Goto
Journal:  BMC Bioinformatics       Date:  2006-03-13       Impact factor: 3.169

8.  False positive reduction in protein-protein interaction predictions using gene ontology annotations.

Authors:  Mahmoud A Mahdavi; Yen-Han Lin
Journal:  BMC Bioinformatics       Date:  2007-07-23       Impact factor: 3.169

9.  Modular co-evolution of metabolic networks.

Authors:  Jing Zhao; Guo-Hui Ding; Lin Tao; Hong Yu; Zhong-Hao Yu; Jian-Hua Luo; Zhi-Wei Cao; Yi-Xue Li
Journal:  BMC Bioinformatics       Date:  2007-08-27       Impact factor: 3.169

  9 in total

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