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| Registros recuperados : 77 | |
| 2. |  | MAZONI, I.; NESHICH, G. DIPN: a dictionary of the internal proteins nanoenvironments and their potential for transformation into agricultural assets. In: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; OLIVEIRA, S. R. de M.; MEIRA, C. A. A.; LUCHIARI JUNIOR, A.; BOLFE, E. L. (ed.). Digital agriculture: research, development and innovation in production chains. Brasília, DF: Embrapa, 2023. cap. 9, p. 165-177.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 3. | | MAZONI, I.; NESHICH, G. DPIN: um dicionário dos nanoambientes internos das proteínas e seu potencial para transformação em ativos para a agricultura. In: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; OLIVEIRA, S. R. de M.; MEIRA, C. A. A.; LUCHIARI JUNIOR, A.; BOLFE, E. L. (Ed.). Agricultura digital: pesquisa, desenvolvimento e inovação nas cadeias produtivas. Brasília, DF: Embrapa, 2020. cap. 9, p. 218-232.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 11. | | PENA, I.; MANCINI, A. L.; MAZONI, I.; JARDINE, J. G.; NESHICH, G.; ORTEGA, J. M. Identification of philogenetic relationship between GDPD and SMaseD proteins based on active site amino acid physical chemical properties. In: INTERNATIONAL CONFERENCE OF BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 4., 2008, Salvador. Proceedings... Salvador: AB³C, 2008. Não paginado. X-Meeting 2008.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 12. | | BORRO, L. C.; SALIM, J. A.; MAZONI, I.; YANO, I.; JARDINE, J. G.; NESHICH, G. Improving binding affinity prediction by using a rule-based model with physical-chemical and structural descriptors of the nano-environment for protein-ligand interactions. In: CONGRESS OF THE INTERNATIONAL UNION FOR BIOCHEMISTRY AND MOLECULAR BIOLOGY, 23.; ANNUAL MEETING OF THE BRAZILIAN SOCIETY FOR BIOCHEMISTRY AND MOLECULAR BIOLOGY, 44., 2015, Foz do Iguaçu. Biochemistry for a better world: abstracts book. [Foz do Iguaçu]: SBBq, 2015. p. 153. C.047.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 13. | | MELO, R. C.; MAZONI, I.; NESHICH, G.; SANTORO, M. M.; MEIRA JÚNIOR, W. Contacts as the key elements for comparing two protein structures. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB, 2006. Não paginado. ISMB, X-MEETING 2006. Poster I-6.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 14. | | NESHICH, G.; JARDINE, J. G.; BERNARDES, R.; MAZONI, I.; MANCINI, A. L.; SILVEIRA, C. da. "Cloud computation" na forma de serviços WEB para um banco de dados federativo STING_RDB. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, 1., 2008, Brasília, DF. Comunicações Selecionadas. Brasília, DF: Embrapa, 2008. Não paginado.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 15. | | SALIM, J. A.; BORRO, L.; MAZONI, I.; YANO, I. H.; JARDINE, J. G.; NESHICH, G. Multiple structure single parameter: analysis of a single protein nano environment descriptor characterizing a shared loci on structurally aligned proteins. Bioinformatics, v. 32, n. 12, p. 1885-1887, 2016.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 17. | | MAZONI, I.; JARDINE, J. G.; BORRO, L. C.; ALVARENGA, D.; NESHICH, G. Electrostatic potential at the alpha carbon atoms along the alpha helices and beta strands. In: ANNUAL MEETING OF SBBQ, 37.; CONGRESS OF THE PAN-AMERICAN ASSOCIATION FOR BIOCHEMISTRY AND MOLECULAR BIOLOGY, 11, 2008, Águas de Lindóia. Program and index... Águas de Lindóia, Program and index... Águas de Lindóia: SBBq, 2008. Não paginado. PABMB.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 19. | | MELO, R. C.; MAZONI, I.; NESHICH, G.; SANTORO, M. M.; MEIRA JUNIOR, W. Protein structure topology comparison based on contact maps. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB, 2006. Não paginado. ISMB, X-MEETING 2006. Poster I-5.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 20. | | JARDINE, J. G.; MAZONI, I.; BORRO, L. C.; ALVARENGA, D.; NESHICH, G. Signature contact coordination patterns for secondary structure elements in protein structures. In: ANNUAL MEETING OF SBBQ, 37.; CONGRESS OF THE PAN-AMERICAN ASSOCIATION FOR BIOCHEMISTRY AND MOLECULAR BIOLOGY, 11, 2008, Águas de Lindóia. Program and index... Águas de Lindóia: SBBq, 2008. Não paginado. PABMB.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 77 | |
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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: |
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. |
|
Thesaurus NAL: |
Bioinformatics; Computer software. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
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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