1. Hidden Markov model approach for identifying the modular framework of the protein backbone. Camproux AC, Tufféry P, Chevrolat JP, Boisvieux JF, Hazout S. Protein Eng. 12(12):1063-73, 1999.
  2. A Hidden Markov Model derived structural alphabet for proteins. Camproux AC, Gautier R, Tufféry P. J Mol Biol. 339:591-605, 2004.
  3. Hidden Markov model-derived structural alphabet for proteins: the learning of protein local shapes captures sequence specificity. Camproux AC, Tufféry P. Biochim Biophys Acta. 1724(3):394-403, 2005.
  4. Identification of non random motifs in loops using a structural alphabet. Regad L, Martin J, Camproux AC. Proceedings of IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology. 2006.
  5. Mining protein loops using a structural alphabet and statistical exceptionality. Regad L, Martin J, Nuel G, Camproux AC. BMC Bioinformatics, 4;11:75, 2010.
  6. Exact distribution of a pattern in a set of random sequences generated by a Markov source: applications to biological data Nuel G, Regad L, Martin J, Camproux AC. Algorithms Mol Biol, 26;5:15 2010.