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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
26/11/2009 |
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Data da última atualização: |
15/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
CAMINHA, I. P.; FALCÃO, P. K.; TEIXEIRA, K. R. |
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Afiliação: |
ISABEL PEREIRA CAMINHA, Estagiária/CNPTIA; PAULA REGINA KUSER FALCAO, CNPTIA; KATIA REGINA DOS SANTOS TEIXEIRA, CNPAB. |
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Título: |
Structural studies of Gluconate 5-dehydrogenase from gluconacetobacter diazotrophicus. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 5., 2009, Angra dos Reis. Abstracts book... Angra dos Reis: ABBCB, 2009. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
X-Meeting 2009. |
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Conteúdo: |
The recent sequencing of the Gluconacetobacter diazotrophicus genome, developed by Projeto RioGene, permits a search by ORFs related to organic acid production. In this study, a putative Gluconate 5-dehydrogenase (Ga5DH) ORF, A9H995, was selected. Ga5DH is an enzyme that plays an important role in regulating the flux of carbon and energy source in bacteria, and in the production of organic acids, among them the 5-keto-D-Gluconate (5KGA). Due to the fundamental role of this acid in the chemical industry, like the precursor to tartaric acid production for example, there is a large interest in respect to the structure of this protein since there is little physical or structural information available about it. To this end, we herein report the theoretical structure of Ga5DH from Gluconacetobacter diazotrophicus. This structure was obtained through in silico studies if the three-dimensional structure generated by homology modelling. The sequence alignment program BLAST was used to search homologous sequences against the Protein Data Bank (PDB), and the best template was chosen according to the sequence identity (ID). The reference structure used was the crystal structure of Ga5DH from Streptococcus suis species (PDB 3cxr:A). This protein wich belongs to the family of short-chain dehydrogenases/reductases (SDR), presented 42% identity with Ga5DH from G. diazotrophicus. By using the programa MODELLER9v6, ten models were built and the best model was determined by the lowest value of objective function. LIGPLOT was used to identify the interactions with possible ligants of this enzyme. A comparative analysis shows that the residues from S. Suis which are involved in ligand binding (GKR D-glucarate and NAP NADP Nicotinamide-adenine-dinucleotide-phosphate) are conserved both sequentially and structurally. This may suggests that the target sequence has the same ligands. Molecular dynamics simulations were performed with GROMACS software package. The residues involved in the interaction with the substrate were replaced by alanine, and the model with mutated amino acids was further submitted to molecular dynamics simulations to gain insights into affinities, contacts and stability of the essencial amino acids for structure and function of this enzyme, as well as information on the binding profile. MenosThe recent sequencing of the Gluconacetobacter diazotrophicus genome, developed by Projeto RioGene, permits a search by ORFs related to organic acid production. In this study, a putative Gluconate 5-dehydrogenase (Ga5DH) ORF, A9H995, was selected. Ga5DH is an enzyme that plays an important role in regulating the flux of carbon and energy source in bacteria, and in the production of organic acids, among them the 5-keto-D-Gluconate (5KGA). Due to the fundamental role of this acid in the chemical industry, like the precursor to tartaric acid production for example, there is a large interest in respect to the structure of this protein since there is little physical or structural information available about it. To this end, we herein report the theoretical structure of Ga5DH from Gluconacetobacter diazotrophicus. This structure was obtained through in silico studies if the three-dimensional structure generated by homology modelling. The sequence alignment program BLAST was used to search homologous sequences against the Protein Data Bank (PDB), and the best template was chosen according to the sequence identity (ID). The reference structure used was the crystal structure of Ga5DH from Streptococcus suis species (PDB 3cxr:A). This protein wich belongs to the family of short-chain dehydrogenases/reductases (SDR), presented 42% identity with Ga5DH from G. diazotrophicus. By using the programa MODELLER9v6, ten models were built and the best model was determined by the lowest value of... Mostrar Tudo |
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Palavras-Chave: |
Bioinformática; BLAST; GROMACS; Modelagem. |
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Thesagro: |
Genoma; Proteína; Simulação. |
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Thesaurus Nal: |
Bioinformatics; Models. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 03173nam a2200265 a 4500
001 1576243
005 2020-01-15
008 2009 bl uuuu u00u1 u #d
100 1 $aCAMINHA, I. P.
245 $aStructural studies of Gluconate 5-dehydrogenase from gluconacetobacter diazotrophicus.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 5., 2009, Angra dos Reis. Abstracts book... Angra dos Reis: ABBCB$c2009
300 $aNão paginado.
500 $aX-Meeting 2009.
520 $aThe recent sequencing of the Gluconacetobacter diazotrophicus genome, developed by Projeto RioGene, permits a search by ORFs related to organic acid production. In this study, a putative Gluconate 5-dehydrogenase (Ga5DH) ORF, A9H995, was selected. Ga5DH is an enzyme that plays an important role in regulating the flux of carbon and energy source in bacteria, and in the production of organic acids, among them the 5-keto-D-Gluconate (5KGA). Due to the fundamental role of this acid in the chemical industry, like the precursor to tartaric acid production for example, there is a large interest in respect to the structure of this protein since there is little physical or structural information available about it. To this end, we herein report the theoretical structure of Ga5DH from Gluconacetobacter diazotrophicus. This structure was obtained through in silico studies if the three-dimensional structure generated by homology modelling. The sequence alignment program BLAST was used to search homologous sequences against the Protein Data Bank (PDB), and the best template was chosen according to the sequence identity (ID). The reference structure used was the crystal structure of Ga5DH from Streptococcus suis species (PDB 3cxr:A). This protein wich belongs to the family of short-chain dehydrogenases/reductases (SDR), presented 42% identity with Ga5DH from G. diazotrophicus. By using the programa MODELLER9v6, ten models were built and the best model was determined by the lowest value of objective function. LIGPLOT was used to identify the interactions with possible ligants of this enzyme. A comparative analysis shows that the residues from S. Suis which are involved in ligand binding (GKR D-glucarate and NAP NADP Nicotinamide-adenine-dinucleotide-phosphate) are conserved both sequentially and structurally. This may suggests that the target sequence has the same ligands. Molecular dynamics simulations were performed with GROMACS software package. The residues involved in the interaction with the substrate were replaced by alanine, and the model with mutated amino acids was further submitted to molecular dynamics simulations to gain insights into affinities, contacts and stability of the essencial amino acids for structure and function of this enzyme, as well as information on the binding profile.
650 $aBioinformatics
650 $aModels
650 $aGenoma
650 $aProteína
650 $aSimulação
653 $aBioinformática
653 $aBLAST
653 $aGROMACS
653 $aModelagem
700 1 $aFALCÃO, P. K.
700 1 $aTEIXEIRA, K. R.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
05/01/2011 |
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Data da última atualização: |
03/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
RIBEIRO; TOGAWA, R. C.; NESHICH, I. A. P.; MAZONI, I.; MANCINI, A. L.; MINARDI, R. C. de M.; SILVEIRA, C. H. da; JARDINE, J. G.; SANTORO, M. M.; NESHICH, G. |
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Afiliação: |
CRISTINA RIBEIRO, UFMG; ROBERTO COITI TOGAWA, CENARGEN; IZABELLA A. P. NESHICH, Estagiária/CNPTIA; IVAN MAZONI, CNPTIA; ADAUTO LUIZ MANCINI, CNPTIA; RAQUEL C. DE MELO MINARDI, UFMG; CARLOS H. DA SILVEIRA, UNIFEI; JOSE GILBERTO JARDINE, CNPTIA; MARCELO M. SANTORO, UFMG; GORAN NESHICH, CNPTIA. |
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Título: |
Analysis of binding properties and specificity through identification of the interface forming residues (IFR) for serine proteases in silico docked to different inhibitors. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
BMC Structural Biology, London, v. 10, n. 36, p. 1-16, 2010. |
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Idioma: |
Inglês |
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Notas: |
Disponível em:.Acesso em: 5 jan. 2011. |
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Conteúdo: |
Background: Enzymes belonging to the same super family of proteins in general operate on variety of substrates and are inhibited by wide selection of inhibitors. In this work our main objective was to expand the scope of studies that consider only the catalytic and binding pocket amino acids while analyzing enzyme specificity and instead, include a wider category which we have named the Interface Forming Residues (IFR). We were motivated to identify those amino acids with decreased accessibility to solvent after docking of different types of inhibitors to sub classes of serine proteases and then create a table (matrix) of all amino acid positions at the interface as well as their respective occupancies. Our goal is to establish a platform for analysis of the relationship between IFR characteristics and binding properties/specificity for bi-molecular complexes. Results: We propose a novel method for describing binding properties and delineating serine proteases specificity by compiling an exhaustive table of interface forming residues (IFR) for serine proteases and their inhibitors. Currently, the Protein Data Bank (PDB) does not contain all the data that our analysis would require. Therefore, an in silico approach was designed for building corresponding complexes The IFRs are obtained by ?rigid body docking? among 70 structurally aligned, sequence wise non-redundant, serine protease structures with 3 inhibitors: bovine pancreatic trypsin inhibitor (BPTI), ecotine and ovomucoid third domain inhibitor. The table (matrix) of all amino acid positions at the interface and their respective occupancy is created. We also developed a new computational protocol for predicting IFRs for those complexes which were not deciphered experimentally so far, achieving accuracy of at least 0.97. Conclusions: The serine proteases interfaces prefer polar (including glycine) residues (with some exceptions). Charged residues were found to be uniquely prevalent at the interfaces between the ?miscellaneous-virus? subfamily and the three inhibitors. This prompts speculation about how important this difference in IFR characteristics is for maintaining virulence of those organisms. Our work here provides a unique tool for both structure/function relationship analysis as well as a compilation of indicators detailing how the specificity of various serine proteases may have been achieved and/or could be altered. It also indicates that the interface forming residues which also determine specificity of serine protease sub-family can not be presented in a canonical way but rather as a matrix of alternative populations of amino acids occupying variety of IFR positions. MenosBackground: Enzymes belonging to the same super family of proteins in general operate on variety of substrates and are inhibited by wide selection of inhibitors. In this work our main objective was to expand the scope of studies that consider only the catalytic and binding pocket amino acids while analyzing enzyme specificity and instead, include a wider category which we have named the Interface Forming Residues (IFR). We were motivated to identify those amino acids with decreased accessibility to solvent after docking of different types of inhibitors to sub classes of serine proteases and then create a table (matrix) of all amino acid positions at the interface as well as their respective occupancies. Our goal is to establish a platform for analysis of the relationship between IFR characteristics and binding properties/specificity for bi-molecular complexes. Results: We propose a novel method for describing binding properties and delineating serine proteases specificity by compiling an exhaustive table of interface forming residues (IFR) for serine proteases and their inhibitors. Currently, the Protein Data Bank (PDB) does not contain all the data that our analysis would require. Therefore, an in silico approach was designed for building corresponding complexes The IFRs are obtained by ?rigid body docking? among 70 structurally aligned, sequence wise non-redundant, serine protease structures with 3 inhibitors: bovine pancreatic trypsin inhibitor (BPTI), ecotine and ovomuco... Mostrar Tudo |
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Palavras-Chave: |
Enzimas; Interface Forming Residues; Propriedades ligantes; Proteases. |
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Thesaurus NAL: |
Binding properties; Enzymes. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/23695/1/1472-6807-10-36.pdf
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Marc: |
LEADER 03733naa a2200313 a 4500
001 1871662
005 2023-02-03
008 2010 bl uuuu u00u1 u #d
100 1 $aRIBEIRO
245 $aAnalysis of binding properties and specificity through identification of the interface forming residues (IFR) for serine proteases in silico docked to different inhibitors.$h[electronic resource]
260 $c2010
500 $aDisponível em:<http://www.biomedcentral.com/1472-6807/10/36>.Acesso em: 5 jan. 2011.
520 $aBackground: Enzymes belonging to the same super family of proteins in general operate on variety of substrates and are inhibited by wide selection of inhibitors. In this work our main objective was to expand the scope of studies that consider only the catalytic and binding pocket amino acids while analyzing enzyme specificity and instead, include a wider category which we have named the Interface Forming Residues (IFR). We were motivated to identify those amino acids with decreased accessibility to solvent after docking of different types of inhibitors to sub classes of serine proteases and then create a table (matrix) of all amino acid positions at the interface as well as their respective occupancies. Our goal is to establish a platform for analysis of the relationship between IFR characteristics and binding properties/specificity for bi-molecular complexes. Results: We propose a novel method for describing binding properties and delineating serine proteases specificity by compiling an exhaustive table of interface forming residues (IFR) for serine proteases and their inhibitors. Currently, the Protein Data Bank (PDB) does not contain all the data that our analysis would require. Therefore, an in silico approach was designed for building corresponding complexes The IFRs are obtained by ?rigid body docking? among 70 structurally aligned, sequence wise non-redundant, serine protease structures with 3 inhibitors: bovine pancreatic trypsin inhibitor (BPTI), ecotine and ovomucoid third domain inhibitor. The table (matrix) of all amino acid positions at the interface and their respective occupancy is created. We also developed a new computational protocol for predicting IFRs for those complexes which were not deciphered experimentally so far, achieving accuracy of at least 0.97. Conclusions: The serine proteases interfaces prefer polar (including glycine) residues (with some exceptions). Charged residues were found to be uniquely prevalent at the interfaces between the ?miscellaneous-virus? subfamily and the three inhibitors. This prompts speculation about how important this difference in IFR characteristics is for maintaining virulence of those organisms. Our work here provides a unique tool for both structure/function relationship analysis as well as a compilation of indicators detailing how the specificity of various serine proteases may have been achieved and/or could be altered. It also indicates that the interface forming residues which also determine specificity of serine protease sub-family can not be presented in a canonical way but rather as a matrix of alternative populations of amino acids occupying variety of IFR positions.
650 $aBinding properties
650 $aEnzymes
653 $aEnzimas
653 $aInterface Forming Residues
653 $aPropriedades ligantes
653 $aProteases
700 1 $aTOGAWA, R. C.
700 1 $aNESHICH, I. A. P.
700 1 $aMAZONI, I.
700 1 $aMANCINI, A. L.
700 1 $aMINARDI, R. C. de M.
700 1 $aSILVEIRA, C. H. da
700 1 $aJARDINE, J. G.
700 1 $aSANTORO, M. M.
700 1 $aNESHICH, G.
773 $tBMC Structural Biology, London$gv. 10, n. 36, p. 1-16, 2010.
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