Data/hora: 01/06/2024 00:12:24

Biblioteca(s): 	Embrapa Agricultura Digital.	
Data corrente: 	25/04/2006	
Data da última atualização: 	27/02/2024	
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.	
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.	
Título: 	STING_DB: a relational database of structural parameters for protein analysis.	
Ano de publicação: 	2005	
Fonte/Imprenta: 	In: X-MEETING; INTERNATIONAL CONFERENCE OF THE AB3C, 1., 2005, Caxambu. [Proceedings...]. [S.l.]: Associação Brasileira de Bioinformática e Biologia Computacional, 2005.	
Páginas: 	p. 132.	
Idioma: 	Inglês	
Notas: 	Na publicação: Paula R. Kuser, Edgard H. Santos. X-meeting 2005. Presented Posters.	
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.	
Palavras-Chave: 	Bioinformática.	
Thesagro: 	Base de Dados; Proteina.	
Thesaurus Nal: 	Bioinformatics; Databases; Proteins.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
Registro original: 	Embrapa Agricultura Digital (CNPTIA)	
Exemplares: 	CNPTIA - (11160-1) - UPC - RA - PP -  -  - 2006.00046 - DES
CNPTIA - (11160-2) - UPC - RA - DD - 570.285 - XME - 2006.00009 - DIS