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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: |
26/03/2009 |
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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: |
MANCINI, A. L.; ROMERO, R. A. F. |
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Afiliação: |
ADAUTO LUIZ MANCINI, CNPTIA; ROSELI APARECIDA FRANCELIN ROMERO, ICMC/USP. |
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Título: |
Predicting the position of hydrogen atoms in proteins through the pattern recognition of hydrogen bonds. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 4., 2008, Salvador. Proceedings... Salvador: AB³C, 2008. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
X-Meeting 2008. |
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Conteúdo: |
The recognition of patterns of hydrogens bond can generate knowledge and be applied to estimate the position of hydrogen atoms in a protein. Tradicional methods of prediction are based on physicalchemical knowledge. This research uses an innovative approach, based on computational methods. Data on hydrogen bond is obtained from the 3D coordinates of atoms from the resolved protein structure. Information about hydrogen bond patterns, once extracted from PDB database, are grouped by similarity, spatially aligned and used as input for the training of a neural network. The present stage of this reseach uses these intelligent techniques to predict the position of atom of hydrogen contained in groups hydroxyl (OH) belonging to the side chains of aminoacids serine, threonine and tyrosine. |
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Palavras-Chave: |
Base de dados PDB; Bioinformática; Ligação de hidrogênio; Métodos computacionais; Proteínas. |
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Thesaurus NAL: |
Bioinformatics; Proteins. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01605nam a2200229 a 4500
001 1031814
005 2020-01-15
008 2008 bl uuuu u00u1 u #d
100 1 $aMANCINI, A. L.
245 $aPredicting the position of hydrogen atoms in proteins through the pattern recognition of hydrogen bonds.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE OF BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 4., 2008, Salvador. Proceedings... Salvador: AB³C$c2008
300 $aNão paginado.
500 $aX-Meeting 2008.
520 $aThe recognition of patterns of hydrogens bond can generate knowledge and be applied to estimate the position of hydrogen atoms in a protein. Tradicional methods of prediction are based on physicalchemical knowledge. This research uses an innovative approach, based on computational methods. Data on hydrogen bond is obtained from the 3D coordinates of atoms from the resolved protein structure. Information about hydrogen bond patterns, once extracted from PDB database, are grouped by similarity, spatially aligned and used as input for the training of a neural network. The present stage of this reseach uses these intelligent techniques to predict the position of atom of hydrogen contained in groups hydroxyl (OH) belonging to the side chains of aminoacids serine, threonine and tyrosine.
650 $aBioinformatics
650 $aProteins
653 $aBase de dados PDB
653 $aBioinformática
653 $aLigação de hidrogênio
653 $aMétodos computacionais
653 $aProteínas
700 1 $aROMERO, R. A. F.
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Embrapa Agricultura Digital (CNPTIA) |
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