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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: |
MAZONI, I.; BORRO, L. C.; MANCINI, A.; SALIM, J. A.; MORAES, F. R.; JARDINE, J. G.; NESHICH, I. A. P.; NESHICH, G. |
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Afiliação: |
IVAN MAZONI, CNPTIA; LUIZ CÉSAR BORRO, Estagiário/CNPTIA; ADAUTO LUIZ MANCINI, CNPTIA; JOSÉ AUGUSTO SALIM, Estagiário/CNPTIA; FABIO ROGERIO DE MORAES, Bolsista/CNPTIA; JOSE GILBERTO JARDINE, CNPTIA; IZABELLA AGOSTINHO PENA NESHICH, Estagiária/CNPTIA; GORAN NESHICH, CNPTIA. |
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Título: |
Comparison between physical chemical and geometrical characteristics of the amino acids present in alpha-helices and beta-sheets. |
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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 pagiando. |
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Idioma: |
Inglês |
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Notas: |
X-Meeting 2009. |
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Conteúdo: |
JSSD is software developed on the Java programming language, to analyze the secondary structure elements of the proteins. This analysis is based on the information about the amino acids physical chemical and geometrical parameters and allows characterize the functional proteins nanoenvironment, where the nucleation of secondary structure elements (alpha-helix, beta-sheets and loops) occurs (composed by initiation, propagation and termination). JSSD uses a database containing 720 different descriptors for each amino acid in any protein deposited in the PDB. Considering that each protein has 2 chains with 300 amino acids each one and there are more than 60000 structures deposited in the PDB, our database has 720 x 2 x 300 x 60,000 = 25,920,000,000 registers approximately. A first experiment was done with 40,710 proteins. We created data marts (extracts from PDB based on strict rules for selecting a particular characteristic) from these structures for the proteins families: all-alpha, all-beta and alpha + beta. Using only the amino acids sequence matching the initial and final position at selected secondary structure element and that has consensus on all three identifiers PDB, DSSP and Stride, the experiment showed that there are 34,095 alpha-helices on the all-alpha protein family; 8,645 beta-sheets on the all-beta protein family and 306,556 alpha-helices and 250,674 beta-sheets on the alpha + beta protein family (both secondary structure element of variable size starting from minimum 5 amino acids). MenosJSSD is software developed on the Java programming language, to analyze the secondary structure elements of the proteins. This analysis is based on the information about the amino acids physical chemical and geometrical parameters and allows characterize the functional proteins nanoenvironment, where the nucleation of secondary structure elements (alpha-helix, beta-sheets and loops) occurs (composed by initiation, propagation and termination). JSSD uses a database containing 720 different descriptors for each amino acid in any protein deposited in the PDB. Considering that each protein has 2 chains with 300 amino acids each one and there are more than 60000 structures deposited in the PDB, our database has 720 x 2 x 300 x 60,000 = 25,920,000,000 registers approximately. A first experiment was done with 40,710 proteins. We created data marts (extracts from PDB based on strict rules for selecting a particular characteristic) from these structures for the proteins families: all-alpha, all-beta and alpha + beta. Using only the amino acids sequence matching the initial and final position at selected secondary structure element and that has consensus on all three identifiers PDB, DSSP and Stride, the experiment showed that there are 34,095 alpha-helices on the all-alpha protein family; 8,645 beta-sheets on the all-beta protein family and 306,556 alpha-helices and 250,674 beta-sheets on the alpha + beta protein family (both secondary structure element of variable size starting from... Mostrar Tudo |
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Palavras-Chave: |
Bioinformática; Geometrical amino acids; Sting. |
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Thesaurus Nal: |
Bioinformatics; Computer software. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02481nam a2200277 a 4500
001 1576284
005 2020-01-15
008 2009 bl uuuu u00u1 u #d
100 1 $aMAZONI, I.
245 $aComparison between physical chemical and geometrical characteristics of the amino acids present in alpha-helices and beta-sheets.$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 pagiando.
500 $aX-Meeting 2009.
520 $aJSSD is software developed on the Java programming language, to analyze the secondary structure elements of the proteins. This analysis is based on the information about the amino acids physical chemical and geometrical parameters and allows characterize the functional proteins nanoenvironment, where the nucleation of secondary structure elements (alpha-helix, beta-sheets and loops) occurs (composed by initiation, propagation and termination). JSSD uses a database containing 720 different descriptors for each amino acid in any protein deposited in the PDB. Considering that each protein has 2 chains with 300 amino acids each one and there are more than 60000 structures deposited in the PDB, our database has 720 x 2 x 300 x 60,000 = 25,920,000,000 registers approximately. A first experiment was done with 40,710 proteins. We created data marts (extracts from PDB based on strict rules for selecting a particular characteristic) from these structures for the proteins families: all-alpha, all-beta and alpha + beta. Using only the amino acids sequence matching the initial and final position at selected secondary structure element and that has consensus on all three identifiers PDB, DSSP and Stride, the experiment showed that there are 34,095 alpha-helices on the all-alpha protein family; 8,645 beta-sheets on the all-beta protein family and 306,556 alpha-helices and 250,674 beta-sheets on the alpha + beta protein family (both secondary structure element of variable size starting from minimum 5 amino acids).
650 $aBioinformatics
650 $aComputer software
653 $aBioinformática
653 $aGeometrical amino acids
653 $aSting
700 1 $aBORRO, L. C.
700 1 $aMANCINI, A.
700 1 $aSALIM, J. A.
700 1 $aMORAES, F. R.
700 1 $aJARDINE, J. G.
700 1 $aNESHICH, I. A. P.
700 1 $aNESHICH, G.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
18/10/1996 |
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Data da última atualização: |
13/03/2008 |
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Autoria: |
COSTA, N. P. da; DOMIT, L. A.; GALERANI, P. R.; ANDRADE, J. M. G.; PORTUGAL, F. A. F.; OLIVEIRA, M. C. N.; MESQUITA, C. M.; TAVARES, L. C. V. |
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Afiliação: |
Embrapa-Soja. Londrina, PR. |
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Título: |
Desenvolvimento de metodologias alternativas e reducao dos desperdicios durante a colheita mecanica da soja. |
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Ano de publicação: |
1995 |
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Fonte/Imprenta: |
In: REUNIAO DE PESQUISA DE SOJA DA REGIAO CENTRAL DO BRASIL, 17., 1995, Goiania. Ata e resumos. Goiania: EMGOPA, 1995. |
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Páginas: |
p.111. |
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Série: |
(EMGOPA. Documentos, 28). |
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Idioma: |
Português |
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Palavras-Chave: |
Brasil; Harvesting losses; Parana; Perda na colheita; Soybean. |
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Thesagro: |
Difusão de Tecnologia; Soja. |
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Thesaurus NAL: |
Brazil; technology transfer. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00988naa a2200325 a 4500
001 1456246
005 2008-03-13
008 1995 bl uuuu u00u1 u #d
100 1 $aCOSTA, N. P. da
245 $aDesenvolvimento de metodologias alternativas e reducao dos desperdicios durante a colheita mecanica da soja.
260 $c1995
300 $ap.111.
490 $a(EMGOPA. Documentos, 28).
650 $aBrazil
650 $atechnology transfer
650 $aDifusão de Tecnologia
650 $aSoja
653 $aBrasil
653 $aHarvesting losses
653 $aParana
653 $aPerda na colheita
653 $aSoybean
700 1 $aDOMIT, L. A.
700 1 $aGALERANI, P. R.
700 1 $aANDRADE, J. M. G.
700 1 $aPORTUGAL, F. A. F.
700 1 $aOLIVEIRA, M. C. N.
700 1 $aMESQUITA, C. M.
700 1 $aTAVARES, L. C. V.
773 $tIn: REUNIAO DE PESQUISA DE SOJA DA REGIAO CENTRAL DO BRASIL, 17., 1995, Goiania. Ata e resumos. Goiania: EMGOPA, 1995.
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