Literature DB >> 15913593

Bioinformatics analysis of mycoplasma metabolism: important enzymes, metabolic similarities, and redundancy.

José C M Mombach1, Ney Lemke, Norma M da Silva, Rejane A Ferreira, Eduardo Isaia, Cláudia K Barcellos.   

Abstract

In this work we apply a bioinformatics approach to determine the most important enzymes of the metabolic network of mycoplasmas. The genomes of several mycoplasmas shared predicted important enzymes. Our method allows us to determine both enzymes that are isolated from the metabolic network of the organism and those that are redundant. We also compare the similarities of the mycoplasmas metabolic networks with the phylogenetic relationships predicted from their 16s rRNA sequences.

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Year:  2006        PMID: 15913593     DOI: 10.1016/j.compbiomed.2005.03.004

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Construction and Analysis of Human Diseases and Metabolites Network.

Authors:  Kai Mi; Yanan Jiang; Jiaxin Chen; Dongxu Lv; Zhipeng Qian; Hui Sun; Desi Shang
Journal:  Front Bioeng Biotechnol       Date:  2020-04-30

2.  Structural and Functional Analysis of Giant Strong Component of Bacillus thuringiensis Metabolic Network.

Authors:  D W Ding; Y R Ding; L N Li; Y J Cai; W B Xu
Journal:  Braz J Microbiol       Date:  2009-06-01       Impact factor: 2.476

  2 in total

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