02863nam a2200337 a 450000100080000000500110000800800410001910000260006024501060008626001760019230000120036850000900038052017490047065000190221965000140223865000130225265000180226565000130228365300200229670000210231670000190233770000240235670000170238070000220239770000180241970000150243770000220245270000160247470000190249070000160250910089612024-02-27       2005    bl uuuu     u00u1 u    #d1 aOLIVEIRA, S. R. de M.  aSTING_DBba relational database of structural parameters for protein analysis.h[electronic resource]  aIn: X-MEETING; INTERNATIONAL CONFERENCE OF THE AB3C, 1., 2005, Caxambu. [Proceedings...]. [S.l.]: Associação Brasileira de Bioinformática e Biologia Computacionalc2005  ap. 132.  aNa publicação: Paula R. Kuser, Edgard H. Santos. X-meeting 2005. Presented Posters.  aSTING_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.  aBioinformatics  aDatabases  aProteins  aBase de Dados  aProteina  aBioinformática1 aPAVANELLI, D. S.1 aALMEIDA, G. V.1 aYAMAGISHI, M. E. B.1 aKUSER, P. R.1 aSANTOS, E. H. dos1 aVIEIRA, F. D.1 aMAZONI, I.1 aCRUZ, S. A. B. da1 aHIGA, R. H.1 aMANCINI, A. L.1 aNESHICH, G.