Data/hora: 14/06/2024 05:02:15

Biblioteca(s): | Embrapa Agricultura Digital.
Data corrente: | 26/03/2009
Data da última atualização: | 15/01/2020
Autoria: | MANCINI, A. L.; ROMERO, R. A. F.
Afiliação: | ADAUTO LUIZ MANCINI, CNPTIA; ROSELI APARECIDA FRANCELIN ROMERO, ICMC/USP.
Título: | Predicting the position of hydrogen atoms in proteins through the pattern recognition of hydrogen bonds.
Ano de publicação: | 2008
Fonte/Imprenta: | In: INTERNATIONAL CONFERENCE OF BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 4., 2008, Salvador. Proceedings... Salvador: AB³C, 2008.
Páginas: | Não paginado.
Idioma: | Inglês
Notas: | X-Meeting 2008.
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.
Palavras-Chave: | Base de dados PDB; Bioinformática; Ligação de hidrogênio; Métodos computacionais; Proteínas.
Thesaurus Nal: | Bioinformatics; Proteins.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
Registro original: | Embrapa Agricultura Digital (CNPTIA)

Exemplares:

CNPTIA - (12690-1) - UPC - RA - PP -  -  - 2009.00058 - DES
CNPTIA - (12690-2) - UPC - RA - DD -  -  -  - DIS