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Utilize este identificador para citar ou criar um link para este item: http://acervodigital.unesp.br/handle/11449/71563
Título: 
SKPDB: A structural database of shikimate pathway enzymes
Autor(es): 
Instituição: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade Federal de Alfenas (UNIFAL)
  • Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)
ISSN: 
1471-2105
Resumo: 
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.
Data de publicação: 
7-Jan-2010
Citação: 
BMC Bioinformatics, v. 11.
Palavras-chaves: 
  • 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
Fonte: 
http://dx.doi.org/10.1186/1471-2105-11-12
Endereço permanente: 
Direitos de acesso: 
Acesso aberto
Tipo: 
outro
Fonte completa:
http://repositorio.unesp.br/handle/11449/71563
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