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A declarative query language for protein secondary structures

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Searching proteins on their secondary structures provides a rough and fast method of identification of molecules having a similar fold. Since existing database management systems do not offer integrated exploration methods for querying protein structures, the structural similarity searching is usually performed by external tools. This often lengthens the processing time and requires additional processing steps, like adaptation of input and output data formats. In the paper, we present the extended SQL language, which allows searching a database in order to find proteins having secondary structures similar to the structural pattern specified by a user. Presented query language is integrated with the relational database management system and it simplifies the manipulation of biological data.
Rocznik
Tom
Strony
139--148
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
autor
  • Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
autor
autor
Bibliografia
  • [1] EIDHAMMER I., INGE J., TAYLOR W.R., Protein Bioinformatics: An algorithmic approach to sequence and structure analysis, John Wiley & Sons, 2004.
  • [2] ALLEN J.P., Biophysical chemistry, Wiley-Blackwell, 2008.
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  • [7] SHAPIRO J., BRUTLAG D., FoldMiner and LOCK 2: protein structure comparison and motif discovery on the web, Nucleic Acids Res., Vol. 32, 2004, pp. 536–41.
  • [8] CAN T., WANG Y.F., CTSS: a robust and efficient method for protein structure alignment based on local geometrical and biological features, Proc. 2003 IEEE Bioinformatics Conf., 2003, pp. 169–179.
  • [9] YANG J., Comprehensive description of protein structures using protein folding shape code, Proteins, Vol. 71(3), 2008, pp. 1497–518.
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  • [11] DATE C.J., Introduction to database systems, (8th Edition), Addison Wesley, 2003.
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  • [14] TATA S., PATEL J.M., FRIEDMAN J.S., SWAROOP A., Declarative querying for biological sequences, Proc. 22nd Int. Conf. on Data Engineering, IEEE Computer Society, 2006, pp. 87–98.
  • [15] WANG Y., SUNDERRAMAN R., TIAN H., A domain specific data management architecture for protein structure data, Proc. 28th IEEE EMBS Annual Int. Conf., New York City, USA, 2006, pp. 5751–5754.
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  • [17] ORENGO C.A., MICHIE A.D., JONES S., et al., CATH – A hierarchic classification of protein domain structures, Structure, Vol. 5. No 8., 1997, pp. 1093–1108.
  • [18] SMITH T.F., WATERMAN M.S., Identification of common molecular subsequences, J Mol Biol, Vol. 147, 1981, pp. 195–197.
  • [19] APWEILER R., BAIROCH A., WU C.H., BARKER W.C., et al., UniProt: the Universal Protein knowledgebase, Nucleic Acids Res. Vol. 32 (Database issue), 2004, pp. 115−119.
  • [20] FRISHMAN D., ARGOS P., Incorporation of non-local interactions in protein secondary structure prediction from the amino acid sequence, Protein Eng, Vol. 9(2), 1996, pp. 133–142.
  • [21] WIECZOREK D., MAŁYSIAK-MROZEK B., KOZIELSKI S., MROZEK D., A method for matching sequences of protein secondary structures, Journal of Medical Informatics & Technologies, October 2010 (to be published).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0018-0018
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