Literature DB >> 11443351

Phylogenetic analysis of metabolic pathways.

C V Forst1, K Schulten.   

Abstract

The information provided by completely sequenced genomes can yield insights into the multi-level organization of organisms and their evolution. At the lowest level of molecular organization individual enzymes are formed, often through assembly of multiple polypeptides. At a higher level, sets of enzymes group into metabolic networks. Much has been learned about the relationship of species from phylogenetic trees comparing individual enzymes. In this article we extend conventional phylogenetic analysis of individual enzymes in different organisms to the organisms' metabolic networks. For this purpose we suggest a method that combines sequence information with information about the underlying reaction networks. A distance between pathways is defined as incorporating distances between substrates and distances between corresponding enzymes. The new analysis is applied to electron-transfer and amino acid biosynthesis networks yielding a more comprehensive understanding of similarities and differences between organisms.

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Year:  2001        PMID: 11443351     DOI: 10.1007/s002390010178

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  28 in total

1.  The phylogenetic extent of metabolic enzymes and pathways.

Authors:  José Manuel Peregrin-Alvarez; Sophia Tsoka; Christos A Ouzounis
Journal:  Genome Res       Date:  2003-03       Impact factor: 9.043

2.  The redox protein construction kit: pre-last universal common ancestor evolution of energy-conserving enzymes.

Authors:  Frauke Baymann; Evelyne Lebrun; Myriam Brugna; Barbara Schoepp-Cothenet; Marie-Thérèse Giudici-Orticoni; Wolfgang Nitschke
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-01-29       Impact factor: 6.237

Review 3.  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

4.  Pathway length and evolutionary constraint in amino acid biosynthesis.

Authors:  Matthew T Rutter; Rebecca A Zufall
Journal:  J Mol Evol       Date:  2004-02       Impact factor: 2.395

5.  Topological network alignment uncovers biological function and phylogeny.

Authors:  Oleksii Kuchaiev; Tijana Milenkovic; Vesna Memisevic; Wayne Hayes; Natasa Przulj
Journal:  J R Soc Interface       Date:  2010-03-17       Impact factor: 4.118

6.  Graemlin: general and robust alignment of multiple large interaction networks.

Authors:  Jason Flannick; Antal Novak; Balaji S Srinivasan; Harley H McAdams; Serafim Batzoglou
Journal:  Genome Res       Date:  2006-08-09       Impact factor: 9.043

7.  Phylogenetic distances are encoded in networks of interacting pathways.

Authors:  Aurélien Mazurie; Danail Bonchev; Benno Schwikowski; Gregory A Buck
Journal:  Bioinformatics       Date:  2008-09-26       Impact factor: 6.937

Review 8.  Molecular and genetic inflammation networks in major human diseases.

Authors:  Yongzhong Zhao; Christian V Forst; Camil E Sayegh; I-Ming Wang; Xia Yang; Bin Zhang
Journal:  Mol Biosyst       Date:  2016-07-19

9.  Computational inference and analysis of genetic regulatory networks via a supervised combinatorial-optimization pattern.

Authors:  Binhua Tang; Xuechen Wu; Ge Tan; Su-Shing Chen; Qing Jing; Bairong Shen
Journal:  BMC Syst Biol       Date:  2010-09-13

10.  Optimal network alignment with graphlet degree vectors.

Authors:  Tijana Milenković; Weng Leong Ng; Wayne Hayes; Natasa Przulj
Journal:  Cancer Inform       Date:  2010-06-30
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