title: Bioinformatics analysis of mycoplasma metabolism: important enzymes, metabolic similarities, and redundancy.
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.
authors.affiliation: Laboratório de Bioinformática e Biologia Computacional, Universidade do Vale do Rio dos Sinos, 93022-000 São Leopoldo, RS, Brazil. mombach@exatas.unisinos.br
authors.forename: José C M
authors.initials: JC
authors.lastname: Mombach
authors.forename: Ney
authors.initials: N
authors.lastname: Lemke
authors.forename: Norma M
authors.initials: NM
authors.lastname: da Silva
authors.forename: Rejane A
authors.initials: RA
authors.lastname: Ferreira
authors.forename: Eduardo
authors.initials: E
authors.lastname: Isaia
authors.forename: Cláudia K
authors.initials: CK
authors.lastname: Barcellos
mesh_terms: D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D017353:Gene Deletion; D016680:Genome, Bacterial; D009174:Mycoplasma / Q000378:metabolism*; D016366:Open Reading Frames; D010641:Phenotype; D010802:Phylogeny; D012329:RNA, Bacterial; D012336:RNA, Ribosomal, 16S / Q000378:metabolism
chemical_list: D012329:RNA, Bacterial; D012336:RNA, Ribosomal, 16S