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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Mandioca e Fruticultura. |
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Data corrente: |
25/11/2021 |
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Data da última atualização: |
26/11/2021 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
SANCHES, N. F.; NORONHA, A. C. da S.; FANCELLI, M.; NASCIMENTO, A. S. do. |
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Afiliação: |
NILTON FRITZONS SANCHES, CNPMF; ALOYSEIA CRISTINA DA SILVA NORONHA, CPATU; MARILENE FANCELLI, CNPMF; ANTONIO SOUZA DO NASCIMENTO, CNPMF. |
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Título: |
Manejo de insetos e ácaros. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: OLIVEIRA, A. M. G.; MEISSNER FILHO, P. E. (ed.). A cultura do mamoeiro. Brasília, DF: Embrapa, 2021. |
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Páginas: |
p. 307-337. |
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Idioma: |
Português |
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Thesagro: |
Ácaro; Inseto; Manejo; Praga. |
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Categoria do assunto: |
O Insetos e Entomologia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228159/1/A-CULTURA-MAMOEIRO-p-309-339-1.pdf
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Marc: |
LEADER 00586naa a2200205 a 4500
001 2136666
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008 2021 bl uuuu u00u1 u #d
100 1 $aSANCHES, N. F.
245 $aManejo de insetos e ácaros.$h[electronic resource]
260 $c2021
300 $ap. 307-337.
650 $aÁcaro
650 $aInseto
650 $aManejo
650 $aPraga
700 1 $aNORONHA, A. C. da S.
700 1 $aFANCELLI, M.
700 1 $aNASCIMENTO, A. S. do
773 $tIn: OLIVEIRA, A. M. G.; MEISSNER FILHO, P. E. (ed.). A cultura do mamoeiro. Brasília, DF: Embrapa, 2021.
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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Biblioteca |
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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
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
25/04/2006 |
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Data da última atualização: |
27/02/2024 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
OLIVEIRA, S. R. de M.; PAVANELLI, D. S.; ALMEIDA, G. V.; YAMAGISHI, M. E. B.; KUSER, P. R.; SANTOS, E. H. dos; VIEIRA, F. D.; MAZONI, I.; CRUZ, S. A. B. da; HIGA, R. H.; MANCINI, A. L.; NESHICH, G. |
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Afiliação: |
STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; DANIEL S. PAVANELLI; GUSTAVO V. ALMEIDA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; PAULA REGINA KUSER FALCAO, CNPTIA; EDGARD HENRIQUE DOS SANTOS, CNPTIA; FABIO DANILO VIEIRA, CNPTIA; IVAN MAZONI, CNPTIA; SERGIO APARECIDO BRAGA DA CRUZ, CNPTIA; ROBERTO HIROSHI HIGA, CNPTIA; ADAUTO LUIZ MANCINI, CNPTIA; GORAN NESHICH, CNPTIA. |
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Título: |
STING_DB: a relational database of structural parameters for protein analysis. |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
In: X-MEETING; INTERNATIONAL CONFERENCE OF THE AB3C, 1., 2005, Caxambu. [Proceedings...]. [S.l.]: Associação Brasileira de Bioinformática e Biologia Computacional, 2005. |
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Páginas: |
p. 132. |
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Idioma: |
Inglês |
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Notas: |
Na publicação: Paula R. Kuser, Edgard H. Santos. X-meeting 2005. Presented Posters. |
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Conteúdo: |
STING_DB is a database composed of structural parameters for protein analysis. This database operates with a collection of both publicly available data (PDB, HSSP, Prosite) and its own data (contacts, interface contacts, surface accessibility). For this reason, STING_DB is one of the best known databases of structural parameters with over 300 of them compiled at the single site. Considering its relevance for biologists, researchers and others interested in protein analysis, we decided to proceed with the ST1NG_DB migration from flat files to a relational database in order to provide more complete and modern environment for structure analysis. The information for analyzing structure relationships, the quality of the structure, nature and volume of atomic contacts of intra and inter chain type, relative conservation of amino acids at the specific sequence position based on multiple sequence alignment, indications of folding essential residue (FER) based on the relationship of the residue conservation to the intra-chain contacts and Ca-Ca and Cb-Cb distance geometry is now going to be more accessible and readily addressable for data grouping and mining. The main features of the relational database STING_DB can be summarized as follows: It is based on indices, which speed up the search for information and, consequently, improve the response time of the protein analysis process; It is available for different platforms, such as ORACLE, MySQL, and Postgres; It greatly reduces the redundancy of information; It allows users to compare different protein structures, at the same time, which was not possible with the previous version (flat files); Its update is much simpler, since it was built on relational database facilities. MenosSTING_DB is a database composed of structural parameters for protein analysis. This database operates with a collection of both publicly available data (PDB, HSSP, Prosite) and its own data (contacts, interface contacts, surface accessibility). For this reason, STING_DB is one of the best known databases of structural parameters with over 300 of them compiled at the single site. Considering its relevance for biologists, researchers and others interested in protein analysis, we decided to proceed with the ST1NG_DB migration from flat files to a relational database in order to provide more complete and modern environment for structure analysis. The information for analyzing structure relationships, the quality of the structure, nature and volume of atomic contacts of intra and inter chain type, relative conservation of amino acids at the specific sequence position based on multiple sequence alignment, indications of folding essential residue (FER) based on the relationship of the residue conservation to the intra-chain contacts and Ca-Ca and Cb-Cb distance geometry is now going to be more accessible and readily addressable for data grouping and mining. The main features of the relational database STING_DB can be summarized as follows: It is based on indices, which speed up the search for information and, consequently, improve the response time of the protein analysis process; It is available for different platforms, such as ORACLE, MySQL, and Postgres; It greatly reduces the r... Mostrar Tudo |
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Palavras-Chave: |
Bioinformática. |
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Thesagro: |
Base de Dados; Proteina. |
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Thesaurus NAL: |
Bioinformatics; Databases; Proteins. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02863nam a2200337 a 4500
001 1008961
005 2024-02-27
008 2005 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, S. R. de M.
245 $aSTING_DB$ba relational database of structural parameters for protein analysis.$h[electronic resource]
260 $aIn: X-MEETING; INTERNATIONAL CONFERENCE OF THE AB3C, 1., 2005, Caxambu. [Proceedings...]. [S.l.]: Associação Brasileira de Bioinformática e Biologia Computacional$c2005
300 $ap. 132.
500 $aNa publicação: Paula R. Kuser, Edgard H. Santos. X-meeting 2005. Presented Posters.
520 $aSTING_DB is a database composed of structural parameters for protein analysis. This database operates with a collection of both publicly available data (PDB, HSSP, Prosite) and its own data (contacts, interface contacts, surface accessibility). For this reason, STING_DB is one of the best known databases of structural parameters with over 300 of them compiled at the single site. Considering its relevance for biologists, researchers and others interested in protein analysis, we decided to proceed with the ST1NG_DB migration from flat files to a relational database in order to provide more complete and modern environment for structure analysis. The information for analyzing structure relationships, the quality of the structure, nature and volume of atomic contacts of intra and inter chain type, relative conservation of amino acids at the specific sequence position based on multiple sequence alignment, indications of folding essential residue (FER) based on the relationship of the residue conservation to the intra-chain contacts and Ca-Ca and Cb-Cb distance geometry is now going to be more accessible and readily addressable for data grouping and mining. The main features of the relational database STING_DB can be summarized as follows: It is based on indices, which speed up the search for information and, consequently, improve the response time of the protein analysis process; It is available for different platforms, such as ORACLE, MySQL, and Postgres; It greatly reduces the redundancy of information; It allows users to compare different protein structures, at the same time, which was not possible with the previous version (flat files); Its update is much simpler, since it was built on relational database facilities.
650 $aBioinformatics
650 $aDatabases
650 $aProteins
650 $aBase de Dados
650 $aProteina
653 $aBioinformática
700 1 $aPAVANELLI, D. S.
700 1 $aALMEIDA, G. V.
700 1 $aYAMAGISHI, M. E. B.
700 1 $aKUSER, P. R.
700 1 $aSANTOS, E. H. dos
700 1 $aVIEIRA, F. D.
700 1 $aMAZONI, I.
700 1 $aCRUZ, S. A. B. da
700 1 $aHIGA, R. H.
700 1 $aMANCINI, A. L.
700 1 $aNESHICH, G.
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Embrapa Agricultura Digital (CNPTIA) |
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