Literature DB >> 10582571

Evolution of metabolisms: a new method for the comparison of metabolic pathways using genomics information.

C V Forst1, K Schulten.   

Abstract

The abundance of information provided by completely sequenced genomes defines a starting point for new insights in the multilevel organization of organisms and their evolution. At the lowest level enzymes and other protein complexes are formed by aggregating multiple polypeptides. At a higher level enzymes group conceptually into metabolic pathways as part of a dynamic information-processing system, and substrates are processed by enzymes yielding other substrates. A method based on a combination of sequence information with graph topology of the underlying pathway is presented. With this approach pathways of different organisms are related to each other by phylogenetic analysis, extending conventional phylogenetic analysis of individual enzymes. The new method is applied to pathways related to electron transfer and to the Krebs citric acid cycle. In addition to providing a more comprehensive understanding of similarities and differences between organisms, this method indicates different evolutionary rates between substrates and enzymes.

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Year:  1999        PMID: 10582571     DOI: 10.1089/106652799318319

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  12 in total

Review 1.  Network genomics--a novel approach for the analysis of biological systems in the post-genomic era.

Authors:  Christian V Forst
Journal:  Mol Biol Rep       Date:  2002-09       Impact factor: 2.316

2.  PathBLAST: a tool for alignment of protein interaction networks.

Authors:  Brian P Kelley; Bingbing Yuan; Fran Lewitter; Roded Sharan; Brent R Stockwell; Trey Ideker
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

Review 3.  Understanding the art of producing protein and nonprotein molecules in Escherichia coli.

Authors:  P Balbás
Journal:  Mol Biotechnol       Date:  2001-11       Impact factor: 2.695

4.  A Bayesian approach to the evolution of metabolic networks on a phylogeny.

Authors:  Aziz Mithani; Gail M Preston; Jotun Hein
Journal:  PLoS Comput Biol       Date:  2010-08-05       Impact factor: 4.475

5.  Algebraic comparison of metabolic networks, phylogenetic inference, and metabolic innovation.

Authors:  Christian V Forst; Christoph Flamm; Ivo L Hofacker; Peter F Stadler
Journal:  BMC Bioinformatics       Date:  2006-02-14       Impact factor: 3.169

6.  Comparative classification of species and the study of pathway evolution based on the alignment of metabolic pathways.

Authors:  Adi Mano; Tamir Tuller; Oded Béjà; Ron Y Pinter
Journal:  BMC Bioinformatics       Date:  2010-01-18       Impact factor: 3.169

7.  Phylophenetic properties of metabolic pathway topologies as revealed by global analysis.

Authors:  Yong Zhang; Shaojuan Li; Geir Skogerbø; Zhihua Zhang; Xiaopeng Zhu; Zefeng Zhang; Shiwei Sun; Hongchao Lu; Baochen Shi; Runsheng Chen
Journal:  BMC Bioinformatics       Date:  2006-05-09       Impact factor: 3.169

8.  Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks.

Authors:  S June Oh; Je-Gun Joung; Jeong-Ho Chang; Byoung-Tak Zhang
Journal:  BMC Bioinformatics       Date:  2006-06-06       Impact factor: 3.169

9.  Modular architecture of metabolic pathways revealed by conserved sequences of reactions.

Authors:  Ai Muto; Masaaki Kotera; Toshiaki Tokimatsu; Zenichi Nakagawa; Susumu Goto; Minoru Kanehisa
Journal:  J Chem Inf Model       Date:  2013-02-19       Impact factor: 4.956

10.  Supervised de novo reconstruction of metabolic pathways from metabolome-scale compound sets.

Authors:  Masaaki Kotera; Yasuo Tabei; Yoshihiro Yamanishi; Toshiaki Tokimatsu; Susumu Goto
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

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