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A method for matching sequences of protein secondary structures

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Alignment of specific regions of two biological molecules is a basic method for determination how similar these two molecules are. There are several methods of optimal alignment that were developed through many years. However, they are dedicated for nucleotide sequences of DNA⁄RNA or amino acid sequences of proteins. Since the construction of proteins can also be analyzed at the level of secondary structure (and higher), we need a comparative method, which would allow us to determine the similarity between biological particles at this level and express it through the appropriate similarity measure. For this reason, we have modified an existing Smith–Waterman method towards matching sequences of secondary structures elements (SSEs). In the paper, we present our modification to the method. We also describe how we find several alternative and equally optimal alignment paths on the basis of the characteristics of compared sequences. Presented alignment method is used in the PSS–SQL language, which allows searching a database in order to find proteins having secondary structures similar to the structural pattern specified by a user.
Rocznik
Tom
Strony
133--137
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
autor
  • Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
autor
autor
Bibliografia
  • [1] ALLEN J.P., Biophysical chemistry, Wiley-Blackwell, 2008.
  • [2] BRANDEN C., TOOZE J., Introduction to protein structure, Garland, 1991.
  • [3] DICKERSON, R.E., GEIS, I., The structure and action of proteins, 2nd ed. Benjamin/Cummings, Redwood City, Calif. Concise, 1981.
  • [4] CREIGHTON T.E.: Proteins: Structures and molecular properties, 2nd ed. Freeman, San Francisco, 1993.
  • [5] EIDHAMMER I., INGE J., TAYLOR W.R., Protein Bioinformatics: An algorithmic approach to sequence and structure analysis, John Wiley & Sons, 2004.
  • [6] GIBRAT J.F., MADEJ T., BRYANT S.H.: Surprising similarities in structure comparison, Curr Opin Struct Biol, Vol. 6(3), 1996, pp. 377–385.
  • [7] YANG J., Comprehensive description of protein structures using protein folding shape code, Proteins, Vol. 71(3), 2008, pp. 1497–518.
  • [8] MROZEK D., WIECZOREK D., MAŁYSIAK-MROZEK B., KOZIELSKI S., PSS-SQL: Protein Secondary Structure – Structured Query Language, Proc. 32nd Annual Int. Conf. of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, September 2010 (to be published).
  • [9] NEEDLEMAN S., WUNSCH C., A general method applicable to the search for similarities in the amino acid sequences of two proteins, Journal of Molecular Biology, Vol. 48, 1970, pp. 443–453.
  • [10] SMITH T.F., WATERMAN M.S., Identification of common molecular subsequences, J Mol Biol, Vol. 147, 1981, pp. 195–197.
  • [11] BELLMAN R., Dynamic programming, Princeton University Press, Princeton, N. J. 1957.
  • [12] SELLERS P.H., Pattern recognition in genetic sequences by mismatch density, Bull. Math. Biol., Vol. 46, 1984, pp. 501–514.
  • [13] PEARSON W.R., Flexible sequence similarity searching with the FASTA3 program package, Methods Mol Biol. Vol. 132, 2000, pp. 185–219.
  • [14] GOTOH O., An Improved Algorithm for Matching Biological Sequences, J. Mol. Biol. Vol. 162, 1982, pp. 705–708.
  • [15] ALTSCHUL S.F., ERICKSON B.W., Locally optimal subalignments using nonlinear similarity functions, Bull. Math. Biol. Vol. 48, 1986, pp. 633–660.
  • [16] WATERMAN M.S., EGGERT M., A new algorithm for best subsequence alignments with applications to tRNA-rRNA comparisons, J. Mol. Biol. Vol. 197, 1987, pp. 723–728.
  • [17] ALTSCHUL S.F., GISH W., MILLER W., MYERS E.W., LIPMAN D.J., Basic local alignment search tool, J Mol Biol, Vol. 215, 1990, pp. 403–10.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0018-0017
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