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Registro Completo |
Biblioteca(s): |
Embrapa Amapá; Embrapa Arroz e Feijão; Embrapa Cerrados; Embrapa Pantanal; Embrapa Roraima; Embrapa Solos; Embrapa Trigo; Embrapa Unidades Centrais. |
Data corrente: |
29/09/1997 |
Data da última atualização: |
02/05/2014 |
Autoria: |
GASTAL, M. L.; ZOBY, J. L. F.; PANIAGO JÚNIOR, E.; MARZIN, J.; XAVIER, J. H. V.; SOUZA, G. L. C. de; PEREIRA, E. A.; KALMS, J. M.; BONNAL, P. |
Título: |
Proposta metodológica de transferência de tecnologia para promover o desenvolvimento. |
Edição: |
ed. rev. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
Planaltina, DF: EMBRAPA; CPAC, 1997. |
Páginas: |
39 p. |
Série: |
(EMBRAPA-CPAC. Documentos, 51). |
Idioma: |
Português |
Conteúdo: |
Antecedentes históricos; Metodologia preconizada; Diagnóstico rápido e dialogado; A nível da comunidade; A nível de sistemas de produção; A nível de recursos naturais; Restituição a comunidade; Plano de ação da comunidade; A transferência de tecnologia na proposta metodologica; Tipologia dos sistemas de produção; Apoio a organização rural; Grupos de interesse; Grupos de gestão; Rede de fazendas de referência; Avaliação dialogada. |
Palavras-Chave: |
Comunidade; CPAC; Desenvolvimento; Development; EMBRAPA; Method; Metodologia; Sistemas de producao; Transferencia. |
Thesagro: |
Difusão de Tecnologia; Extensão Rural; Método; Pesquisa; Sociologia; Tecnologia; Transferência de Tecnologia. |
Thesaurus Nal: |
agricultural research; methodology; research; technology; technology transfer. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/101694/1/doc-51.pdf
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Marc: |
LEADER 01746nam a2200493 a 4500 001 1985416 005 2014-05-02 008 1997 bl uuuu u0uu1 u #d 100 1 $aGASTAL, M. L. 245 $aProposta metodológica de transferência de tecnologia para promover o desenvolvimento. 250 $aed. rev. 260 $aPlanaltina, DF: EMBRAPA; CPAC$c1997 300 $a39 p. 490 $a(EMBRAPA-CPAC. Documentos, 51). 520 $aAntecedentes históricos; Metodologia preconizada; Diagnóstico rápido e dialogado; A nível da comunidade; A nível de sistemas de produção; A nível de recursos naturais; Restituição a comunidade; Plano de ação da comunidade; A transferência de tecnologia na proposta metodologica; Tipologia dos sistemas de produção; Apoio a organização rural; Grupos de interesse; Grupos de gestão; Rede de fazendas de referência; Avaliação dialogada. 650 $aagricultural research 650 $amethodology 650 $aresearch 650 $atechnology 650 $atechnology transfer 650 $aDifusão de Tecnologia 650 $aExtensão Rural 650 $aMétodo 650 $aPesquisa 650 $aSociologia 650 $aTecnologia 650 $aTransferência de Tecnologia 653 $aComunidade 653 $aCPAC 653 $aDesenvolvimento 653 $aDevelopment 653 $aEMBRAPA 653 $aMethod 653 $aMetodologia 653 $aSistemas de producao 653 $aTransferencia 700 1 $aZOBY, J. L. F. 700 1 $aPANIAGO JÚNIOR, E. 700 1 $aMARZIN, J. 700 1 $aXAVIER, J. H. V. 700 1 $aSOUZA, G. L. C. de 700 1 $aPEREIRA, E. A. 700 1 $aKALMS, J. M. 700 1 $aBONNAL, P.
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Embrapa Cerrados (CPAC) |
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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. |
Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
22/12/2015 |
Data da última atualização: |
07/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
NESHICH, I. A. P.; NISHIMURA, L.; MORAES, F. R. de; SALIM, J. A.; VILLALTA-ROMERO, F.; BORRO, L.; YANO, I. H.; MAZONI, I.; TASIC, L.; JARDINE, J. G.; NESHICH, G. |
Afiliação: |
IZABELLA AGOSTINHO PENA NESHICH, Unicamp; LETICIA NISHIMURA, IQSC-USP; FABIO ROGÉRIO DE MORAES, Unesp, Sao José do Rio Preto; JOSE AUGUSTO SALIM, Unicamp; FABIAN VILLALTA-ROMERO; LUIZ BORRO, Unicamp; INACIO HENRIQUE YANO, CNPTIA; IVAN MAZONI, CNPTIA; LJUBICA TASIC, IQ/Unicamp; JOSÉ GILBERTO JARDINE, CNPTIA; GORAN NESHICH, CNPTIA. |
Título: |
Computational Biology tools for identifying specific ligand binding residues for novel agrochemical and drug design. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
Current Protein and Peptide Science, v. 16, n. 8, p. 701-717, 2015. |
ISBN: |
10.2174/1389203716666150505234923 |
Idioma: |
Inglês |
Conteúdo: |
The term ?agrochemicals? is used in its generic form to represent a spectrum of pesticides, such as insecticides, fungicides or bactericides. They contain active components designed for optimized pest management and control, therefore allowing for economically sound and labor efficient agricultural production. A ?drug? on the other side is a term that is used for compounds designed for controlling human diseases. Although drugs are subjected to much more severe testing and regulation procedures before reaching the market, they might contain exactly the same active ingredient as certain agrochemicals, what is the case described in present work, showing how a small chemical compound might be used to control pathogenicity of Gram negative bacteria Xylella fastidiosa which devastates citrus plantations, as well as for control of, for example, meningitis in humans. It is also clear that so far the production of new agrochemicals is not benefiting as much from the in silico new chemical compound identification/discovery as pharmaceutical production. Rational drug design crucially depends on detailed knowledge of structural information about the receptor (target protein) and the ligand (drug/agrochemical). The interaction between the two molecules is the subject of analysis that aims to understand relationship between structure and function, mainly deciphering some fundamental elements of the nanoenvironment where the interaction occurs. In this work we will emphasize the role of understanding nanoenvironmental factors that guide recognition and interaction of target protein and its function modifier, an agrochemical or a drug. The repertoire of nanoenvironment descriptors is used for two selected and specific cases we have approached in order to offer a technological solution for some very important problems that needs special attention in agriculture: elimination of pathogenicity of a bacterium which is attacking citrus plants and formulation of a new fungicide. Finally, we also briefly describe a workflow which might be useful when research requires that model structures of target proteins are firstly generated (starting from genome sequences), followed by identification of ligand-target sites at the surface of those modeled structures, then application of procedures that adequately prepare both protein and ligand structures (the latter also involving filtration that satisfies acceptable adsorption/desorption/metabolism/excretion/toxicity [ADMET] parameters) for virtual high throughput screening (involving docking of ligands to indicated sites) and terminating by ranking of best pairs: target protein with selected ligand. MenosThe term ?agrochemicals? is used in its generic form to represent a spectrum of pesticides, such as insecticides, fungicides or bactericides. They contain active components designed for optimized pest management and control, therefore allowing for economically sound and labor efficient agricultural production. A ?drug? on the other side is a term that is used for compounds designed for controlling human diseases. Although drugs are subjected to much more severe testing and regulation procedures before reaching the market, they might contain exactly the same active ingredient as certain agrochemicals, what is the case described in present work, showing how a small chemical compound might be used to control pathogenicity of Gram negative bacteria Xylella fastidiosa which devastates citrus plantations, as well as for control of, for example, meningitis in humans. It is also clear that so far the production of new agrochemicals is not benefiting as much from the in silico new chemical compound identification/discovery as pharmaceutical production. Rational drug design crucially depends on detailed knowledge of structural information about the receptor (target protein) and the ligand (drug/agrochemical). The interaction between the two molecules is the subject of analysis that aims to understand relationship between structure and function, mainly deciphering some fundamental elements of the nanoenvironment where the interaction occurs. In this work we will emphasize the role of u... Mostrar Tudo |
Palavras-Chave: |
Agroquímicos; Bioinformática; Biology; Interaction nanoenvironment; Ligand docking; Nanoambiente; Protein-ligand interactions; Sting structure-function descriptors. |
Thesagro: |
Biologia; Proteína. |
Thesaurus NAL: |
Agrochemicals; Bioinformatics; Proteins. |
Categoria do assunto: |
-- |
Marc: |
LEADER 03817naa a2200397 a 4500 001 2032213 005 2020-01-07 008 2015 bl uuuu u00u1 u #d 100 1 $aNESHICH, I. A. P. 245 $aComputational Biology tools for identifying specific ligand binding residues for novel agrochemical and drug design.$h[electronic resource] 260 $c2015 520 $aThe term ?agrochemicals? is used in its generic form to represent a spectrum of pesticides, such as insecticides, fungicides or bactericides. They contain active components designed for optimized pest management and control, therefore allowing for economically sound and labor efficient agricultural production. A ?drug? on the other side is a term that is used for compounds designed for controlling human diseases. Although drugs are subjected to much more severe testing and regulation procedures before reaching the market, they might contain exactly the same active ingredient as certain agrochemicals, what is the case described in present work, showing how a small chemical compound might be used to control pathogenicity of Gram negative bacteria Xylella fastidiosa which devastates citrus plantations, as well as for control of, for example, meningitis in humans. It is also clear that so far the production of new agrochemicals is not benefiting as much from the in silico new chemical compound identification/discovery as pharmaceutical production. Rational drug design crucially depends on detailed knowledge of structural information about the receptor (target protein) and the ligand (drug/agrochemical). The interaction between the two molecules is the subject of analysis that aims to understand relationship between structure and function, mainly deciphering some fundamental elements of the nanoenvironment where the interaction occurs. In this work we will emphasize the role of understanding nanoenvironmental factors that guide recognition and interaction of target protein and its function modifier, an agrochemical or a drug. The repertoire of nanoenvironment descriptors is used for two selected and specific cases we have approached in order to offer a technological solution for some very important problems that needs special attention in agriculture: elimination of pathogenicity of a bacterium which is attacking citrus plants and formulation of a new fungicide. Finally, we also briefly describe a workflow which might be useful when research requires that model structures of target proteins are firstly generated (starting from genome sequences), followed by identification of ligand-target sites at the surface of those modeled structures, then application of procedures that adequately prepare both protein and ligand structures (the latter also involving filtration that satisfies acceptable adsorption/desorption/metabolism/excretion/toxicity [ADMET] parameters) for virtual high throughput screening (involving docking of ligands to indicated sites) and terminating by ranking of best pairs: target protein with selected ligand. 650 $aAgrochemicals 650 $aBioinformatics 650 $aProteins 650 $aBiologia 650 $aProteína 653 $aAgroquímicos 653 $aBioinformática 653 $aBiology 653 $aInteraction nanoenvironment 653 $aLigand docking 653 $aNanoambiente 653 $aProtein-ligand interactions 653 $aSting structure-function descriptors 700 1 $aNISHIMURA, L. 700 1 $aMORAES, F. R. de 700 1 $aSALIM, J. A. 700 1 $aVILLALTA-ROMERO, F. 700 1 $aBORRO, L. 700 1 $aYANO, I. H. 700 1 $aMAZONI, I. 700 1 $aTASIC, L. 700 1 $aJARDINE, J. G. 700 1 $aNESHICH, G. 773 $tCurrent Protein and Peptide Science$gv. 16, n. 8, p. 701-717, 2015.
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