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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/71563
Title: 
SKPDB: A structural database of shikimate pathway enzymes
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade Federal de Alfenas (UNIFAL)
  • Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
ISSN: 
1471-2105
Abstract: 
Background: The functional and structural characterisation of enzymes that belong to microbial metabolic pathways is very important for structure-based drug design. The main interest in studying shikimate pathway enzymes involves the fact that they are essential for bacteria but do not occur in humans, making them selective targets for design of drugs that do not directly impact humans.Description: The ShiKimate Pathway DataBase (SKPDB) is a relational database applied to the study of shikimate pathway enzymes in microorganisms and plants. The current database is updated regularly with the addition of new data; there are currently 8902 enzymes of the shikimate pathway from different sources. The database contains extensive information on each enzyme, including detailed descriptions about sequence, references, and structural and functional studies. All files (primary sequence, atomic coordinates and quality scores) are available for downloading. The modeled structures can be viewed using the Jmol program.Conclusions: The SKPDB provides a large number of structural models to be used in docking simulations, virtual screening initiatives and drug design. It is freely accessible at http://lsbzix.rc.unesp.br/skpdb/. © 2010 Arcuri et al; licensee BioMed Central Ltd.
Issue Date: 
7-Jan-2010
Citation: 
BMC Bioinformatics, v. 11.
Keywords: 
  • Bacteria (microorganisms)
  • enzyme
  • shikimic acid
  • amino acid sequence
  • biology
  • chemistry
  • computer program
  • metabolism
  • protein conformation
  • protein database
  • sequence analysis
  • Amino Acid Sequence
  • Computational Biology
  • Databases, Protein
  • Enzymes
  • Protein Conformation
  • Sequence Analysis, Protein
  • Shikimic Acid
  • Software
Source: 
http://dx.doi.org/10.1186/1471-2105-11-12
URI: 
Access Rights: 
Acesso aberto
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/71563
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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