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Evolutionary algorithm for a reconstruction of NOE paths in NMR spectra of RNA chains

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Resonance-assignment remains one of the hardest stages in RNA tertiary structure determination with the use of Nuclear Magnetic Resonanse spectroscopy. We propose an evolutionary algorithm being a tool for an automatization of the procedure. NOE pathway, which determines the assignments, is constructed during an analysis of possible connections between resonances within aromatic and anomeric region of 2D-NOESY spectra resulting from appropriate NMR experiments. Computational tests demonstrate the performance of the evolutionary algorithm as compared with the exact branch-and-cut procedure applied for the experimental and simulated spectral data for RNA molecules.
Rocznik
Strony
221--230
Opis fizyczny
Bibliogr. 24 poz., 4 rys., 2 tab.
Twórcy
  • Institute of Bioorganic Chemistry, Polish Academy of Sciences, 12/14 Noskowskiego St., 61–704 Poznań, Poland
autor
  • Institute of Bioorganic Chemistry, Polish Academy of Sciences, 12/14 Noskowskiego St., 61–704 Poznań, Poland
autor
  • Institute of Computing Science, Poznan University of Technology, 3a Piotrowo St., 60–965 Poznań, Poland
Bibliografia
  • [1] K. W¨uthrich, NMR of Proteins and Nucleic Acids, John Willey & Sons, New York, 1986.
  • [2] J. Cavanach, W. J. Fairbrother, A. G. Palmer III and N. J. Skelton, Protein NMR Spectroscopy: Principles and Practice, Academic Press, San Diego, 1996.
  • [3] G. Varani and I. Tinoco Jr., “RNA structure and NMR spectroscopy”, Q. Rev. Biophys. 24, 479–532 (1991).
  • [4] S. S. Wijmenga and B. N. M van Buuren, “The use of NMR methods for conformational studies of nucleic acids”, Prog. NMR Spectrosc. 33, 287–387 (1998).
  • [5] H. N. B. Moseley and G. T. Montelione, “Au t omated analysis of NMR assignments and structures for proteins”, Curr. Opin. Struct. Biol. 9, 635–642 (1999).
  • [6] H. S. Atreya, S. C. Sahu ,K. V. Chary and G. Govil, “A tracked approach for automated NMR assignments in protein (TATAPRO)”, J. Biomol. NMR 17, 125–36 (2000).
  • [7] M. Leutner, R. M. Gschwind, J. Liermann, C. Schwarz, G. Gemmecker and H. Kessler, “Automated backbone assignment of labeled proteins using the threshold accepting algorithm”, J. Biomol. NMR 11, 31–43 (1998).
  • [8] J. A. Lukin, A. P. Gove, S. N. Talukdar and C. Ho, “Automated probabilistic method for assigning backbone resonances of (13C,15N)-labeled proteins”, J. Biomol. NMR 9, 151–166 (1997).
  • [9] H. N. B. Moseley, D. Monleon and G. T. Montelione, “Automatic determination of protein backbone resonance assignments from triple-resonance NMR data”, Methods in Enzymology 339, 91–108 (2001).
  • [10] D. E. Zimmerman, C. A. Kulikowski, Y. Huang, W. Feng, M. Tashiro, S. Shimotakahara, C-Y. Chien, R. Powers and G. T. Montelione, “Automated analysis of protein NMR assignments using methods from artificial intelligence”, J. Mol. Biol. 269, 592–610 (1997).
  • [11] J. P. Linge, M. Habeck, W. Rieping and M. Nilges, “ARIA: automated NOE assignment and NMR structure calculation”, Bioinformatics 19/2, 315–316 (2003).
  • [12] M. W. Roggenbuck, T. J. Hyman and P. N. Borer, “Path Analysis in NMR Spectra: Application to an RNA Octamer”, Structure & Methods 3, 309–317 (1990).
  • [13] R. W. Adamiak, J. Blazewicz, P. Formanowicz, Z. Gdaniec, M. Kasprzak, M. Popenda and M. Szachniuk, “An algorithm for an automatic NOE pathways analysis of 2D NMR spectra of RNA duplexes”, J. Comp. Biol. 11, 163–180 (2004).
  • [14] M. Szachniuk, R. W. Adamiak, P. Formanowicz, Z. Gdaniec, M. Kasprzak, M. Popenda and J. Błażewicz, “A combinatorial analysis of 2D NMR spectra of RNA duplexes”, Curr. Comp. Biol. 345–346 (2003).
  • [15] V. J. Rayward-Smith, I. H. Osman, C. R. Reeves and G. D. Smith, Modern Heuristic Search Methods, John Willey & Sons, Chichester, 1996.
  • [16] C. R. Reeves, Modern Heuristic Techniques for Combinatorial Problems, McGraw-Hill, London, 1993.
  • [17] I. H. Osman and J. P. Kelly, Meta-Heuristics: Theory and Applications, Kluwer Academic Publishers, Boston, 1995.
  • [18] E. H. L. Aarts and J. K. Lenstra, Local Search in Combinatorial Optimization, John Willey & Sons, Chichester, 1997.
  • [19] A. Homaifar and S. Guan, A New Approach to the Traveling Salesman Problem by Genetic Algorithm, Technical Report, North Carolina A & T State University, 1991.
  • [20] L. Davis, “Applying adaptive algorithms to epistatic domains”, Proc. of the International Joint Conference on Artificial Intelligence, 162–164 (1985).
  • [21] J. A. McDowell and D. H. Turner, “Investigation of the structural basis for thermodynamic stabilities of tandem GU mismatches: solution structure of (rGAGGUCUC)2 by 2-D NMR and simulated annealing”, Biochemistry 35, 14077–14089 (1996).
  • [22] M. Wu, Jr. J. Santa Lucia and D. H. Turner, “Solution structure of (rGGCAGGCC)2 by 2-D NMR and the iterative relaxation matrix approach”, Biochemistry 36, 4449–4460 (1997).
  • [23] J. A. McDowell, L. He, X. Chen and D. H. Turner, “Investigation of the structural basis for thermodynamic stabilities of tandem GU wobble pairs: NMR structures of (rGGAGUUCC)2 and (rGGAUGUCC)2”, Biochemistry 36, 8030–8038 (1997).
  • [24] Jr. J. Santa Lucia and D. H. Turner, “Structure of (rGGCGAGCC)2 in solution from NMR and restrained molecular dynamics”, Biochemistry 32, 12612–12623 (1993).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG5-0001-0031
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