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| 19. |  | SA, C. P. de; NASCIMENTO, G. C. do. Coeficientes técnicos, custos e indicadores de eficiência econômica. In: ANDRADE NETO, R. de C.; NOGUEIRA, S. R.; NASCIMENTO, G. C. do; NEGREIROS, J. R. da S.; GOMES, F. C. da R. Sistema de produção da cultura do abacaxi para o estado do Acre. Rio Branco, AC: Embrapa Acre, 2018. (Embrapa Acre. Sistema de produção, 9). Publicação eletrônica.| Biblioteca(s): Embrapa Acre. |
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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: |
03/08/2005 |
|
Data da última atualização: |
17/01/2020 |
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Autoria: |
NESHICH, G.; ROCCHIA, W.; MANCINI, A. L.; YAMAGISHI, M. E. B.; KUSER, P. R.; FILETO, R.; BAUDET, C.; PINTO, I. P.; MONTAGNER, A. J.; PALANDRANI, J. F.; KRAUCHENCO, J. N.; TORRES, R. C.; SOUZA, S.; TOGAWA, R. C.; HIGA, R. H. |
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Afiliação: |
GORAN NESHICH, CNPTIA; WALTER ROCCHIA, NEST-INFM; ADAUTO LUIZ MANCINI, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; PAULA REGINA KUSER FALCAO, CNPTIA; RENATO FILETO; CHRISTIAN BAUDET; IVAN P. PINTO; ARNALDO J. MONTAGNER; JULIANA F. PALANDRANI; JOÃO N. KRAUCHENCO; RENATO C. TORRES; SAVIO SOUZA; ROBERTO COITI TOGAWA, CENARGEN; ROBERTO HIROSHI HIGA, CNPTIA. |
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Título: |
Java Protein Dossier: a novel web-based data visualization tool for comprehensive analysis of protein structure. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
Nucleic Acids Research, v. 32, W595-W601, 2004. |
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Idioma: |
Inglês |
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Conteúdo: |
Java Protein Dossier (JPD) is a new concept, database and visualization tool providing one of the largest collections of the physicochemical parameters describing proteins´structure, stability, function and interaction with other macromolecules. By collecting as many descriptors/parameters as possible within a single database, we can achieve a better use of the available data and information. Furthermore, data grouping allows us to generate different parameters with the potential to provide new insights into the sequence-structure-function relationship. In JPD, residue selection can be performed according to multiple criteria. JPD can simultaneously display and analyze all the physicochemical parameters of any pair of structures, using precalculated structural alignments, allowing direct parameter comparison at corresponding amino acid positions among homologous structures. In order to focus on the physicochemical (and consequently pharmacological) profile of proteins, visualization tools (showing the structure and structural parameters) also had to be optimized. Our response to this challenge was the use of Java technology with its exceptional level of interactivity. |
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Palavras-Chave: |
Banco de dados; Estrutura proteica; Java. |
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Thesagro: |
Proteina. |
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Thesaurus NAL: |
Databases; Protein structure. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
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001 1009079
005 2020-01-17
008 2004 bl uuuu u00u1 u #d
100 1 $aNESHICH, G.
245 $aJava Protein Dossier$ba novel web-based data visualization tool for comprehensive analysis of protein structure.$h[electronic resource]
260 $c2004
520 $aJava Protein Dossier (JPD) is a new concept, database and visualization tool providing one of the largest collections of the physicochemical parameters describing proteins´structure, stability, function and interaction with other macromolecules. By collecting as many descriptors/parameters as possible within a single database, we can achieve a better use of the available data and information. Furthermore, data grouping allows us to generate different parameters with the potential to provide new insights into the sequence-structure-function relationship. In JPD, residue selection can be performed according to multiple criteria. JPD can simultaneously display and analyze all the physicochemical parameters of any pair of structures, using precalculated structural alignments, allowing direct parameter comparison at corresponding amino acid positions among homologous structures. In order to focus on the physicochemical (and consequently pharmacological) profile of proteins, visualization tools (showing the structure and structural parameters) also had to be optimized. Our response to this challenge was the use of Java technology with its exceptional level of interactivity.
650 $aDatabases
650 $aProtein structure
650 $aProteina
653 $aBanco de dados
653 $aEstrutura proteica
653 $aJava
700 1 $aROCCHIA, W.
700 1 $aMANCINI, A. L.
700 1 $aYAMAGISHI, M. E. B.
700 1 $aKUSER, P. R.
700 1 $aFILETO, R.
700 1 $aBAUDET, C.
700 1 $aPINTO, I. P.
700 1 $aMONTAGNER, A. J.
700 1 $aPALANDRANI, J. F.
700 1 $aKRAUCHENCO, J. N.
700 1 $aTORRES, R. C.
700 1 $aSOUZA, S.
700 1 $aTOGAWA, R. C.
700 1 $aHIGA, R. H.
773 $tNucleic Acids Research$gv. 32, W595-W601, 2004.
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Embrapa Agricultura Digital (CNPTIA) |
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