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Prediction of proteins putatively involved in the thiol: disulfide redox metabolism of a bacterium (Listeria): the CXXC motif as query sequence.
Gopal, Shubha; Srinivas, Vanishree; Zameer, Farhan; Kreft, Jürgen.
Afiliação
  • Gopal S; Department of Studies in Microbiology, University of Mysore, Manasagangothri, Mysore, India.
In Silico Biol ; 9(5-6): 407-14, 2009.
Article em En | MEDLINE | ID: mdl-22430441
ABSTRACT
Thioldisulfide redox metabolism (TDRM) is a central metabolic network in all living cells. However, numerous proteins with different biochemical functions and several structural domains are involved, making it not trivial to identify and annotate its constituents in sequenced genomes. We developed an uncomplicated approach to solve the problem using existing web-based tools and public databases with the gram-positive bacterium Listeria monocytogenes EGD-e as a model organism. A pattern search for the Cys-Xaa-Xaa-Cys (CXXC) motif--a hallmark of TDRM proteins--in the genome sequence of the bacterium yielded 156 proteins. After initial refinement by protein and domain analysis, 14 candidate proteins remained. Subsequent detailed analyses, supported by modeling of 3D structures and data integration yielded 6 thioredoxin-like proteins plus thioredoxin reductase, glutaredoxin, one redox-sensitive regulator, one peptide methionine reductase - all typical TDRM constituents - and three putative novel components of the TDRM. For all 14 proteins orthologues were found in other Listeria species. Homology searches and phylogenetic analyses showed that related proteins are present mainly in other Firmicutes. This fast approach required minimal resources. It is immediately applicable to any genome with appropriate modifications and should be practicable also for other conserved, functionally important amino acid motifs.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos de Sulfidrila / Proteínas de Bactérias / Biologia Computacional / Dissulfetos / Listeria Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2009 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos de Sulfidrila / Proteínas de Bactérias / Biologia Computacional / Dissulfetos / Listeria Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2009 Tipo de documento: Article