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Spectroscopy
Volume 16 (2002), Issue 2, Pages 53-69
http://dx.doi.org/10.1155/2002/503989

An alternative method for rapid quantification of protein secondary structure from FTIR spectra using neural networks

Joachim A. Hering,1 Peter R. Innocent,2 and Parvez I. Haris1

1Department of Biological Sciences, De Montfort University, The Gateway, Leicester, LE1 9BH, UK
2Department of Computer Science, De Montfort University, The Gateway, Leicester, LE1 9BH, UK

Copyright © 2002 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Mete Severcan, Parvez I. Haris, and Feride Severcan, “Using artificially generated spectral data to improve protein secondary structure prediction from Fourier transform infrared spectra of proteins,” Analytical Biochemistry, vol. 332, no. 2, pp. 238–244, 2004. View at Publisher · View at Google Scholar
  • Erik Goormaghtigh, Jean-Marie Ruysschaert, and Vincent Raussens, “Evaluation of the Information Content in Infrared Spectra for Protein Secondary Structure Determination,” Biophysical Journal, vol. 90, no. 8, pp. 2946–2957, 2006. View at Publisher · View at Google Scholar
  • Erik Goormaghtigh, Régis Gasper, Audrey Bénard, Andréa Goldsztein, and Vincent Raussens, “Protein secondary structure content in solution, films and tissues: Redundancy and complementarity of the information content in circular dichroism, transmission and ATR FTIR spectra,” Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, vol. 1794, no. 9, pp. 1332–1343, 2009. View at Publisher · View at Google Scholar
  • Weiyin Xu, Kejia Chen, Dayang Liang, and Wee Chew, “Hierarchical band-target entropy minimization curve resolution and Pearson VII curve-fitting analysis of cellular protein infrared imaging spectra,” Analytical Biochemistry, vol. 387, no. 1, pp. 42–53, 2009. View at Publisher · View at Google Scholar
  • Victor A. Shashilov, and Igor K. Lednev, “Advanced Statistical and Numerical Methods for Spectroscopic Characterization of Protein Structural Evolution,” Chemical Reviews, vol. 110, no. 10, pp. 5692–5713, 2010. View at Publisher · View at Google Scholar
  • Pinar Mega Tiber, Oya Orun, Cevdet Nacar, Ugur Osman Sezerman, Feride Severcan, Mete Severcan, André Matagne, and Beki Kan, “Structural characterization of recombinant bovine Goα by spectroscopy and homology modeling,” Spectroscopy, vol. 26, no. 4-5, pp. 213–229, 2011. View at Publisher · View at Google Scholar