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Linked References

1. S. K. Sharma, P. Goloubinoff, and P. Christen, “Heavy metal ions are potent inhibitors of protein folding,” Biochemical and Biophysical Research Communications, vol. 372, no. 2, pp. 341–345, 2008. View at Publisher · View at Google Scholar · View at Scopus
2. B. Turner and D. M. J. Lilley, “The importance of G·A hydrogen bonding in the metal ion- and protein-induced folding of a Kink Turn RNA,” Journal of Molecular Biology, vol. 381, no. 2, pp. 431–442, 2008. View at Publisher · View at Google Scholar · View at Scopus
3. D. Tomkiewicz, N. Nouwen, and A. J. M. Driessen, “Kinetics and energetics of the translocation of maltose binding protein folding mutants,” Journal of Molecular Biology, vol. 377, no. 1, pp. 83–90, 2008. View at Publisher · View at Google Scholar · View at Scopus
4. O. Fedorova, A. Solem, and A. M. Pyle, “Protein-facilitated folding of group II intron ribozymes,” Journal of Molecular Biology, vol. 397, no. 3, pp. 799–813, 2010. View at Publisher · View at Google Scholar · View at Scopus
5. B. C. Gin, J. P. Garrahan, and P. L. Geissler, “The limited role of nonnative contacts in the folding pathways of a lattice protein,” Journal of Molecular Biology, vol. 392, no. 5, pp. 1303–1314, 2009. View at Publisher · View at Google Scholar · View at Scopus
6. Y. Zhang, S. Wang, L. Wu, and Y. Huo, “Artificial immune system for protein folding model,” Journal of Convergence Information Technology, vol. 6, no. 1, pp. 55–61, 2011. View at Publisher · View at Google Scholar · View at Scopus
7. K. F. Lau and K. A. Dill, “Lattice statistical mechanics model of the conformational and sequence spaces of proteins,” Macromolecules, vol. 22, no. 10, pp. 3986–3997, 1989. View at Publisher · View at Google Scholar · View at Scopus
8. R. König and T. Dandekar, “Improving genetic algorithms for protein folding simulations by systematic crossover,” BioSystems, vol. 50, no. 1, pp. 17–25, 1999. View at Publisher · View at Google Scholar · View at Scopus
9. C. J. Lin and M. H. Hsieh, “An efficient hybrid Taguchi-genetic algorithm for protein folding simulation,” Expert Systems with Applications, vol. 36, no. 10, pp. 12446–12453, 2009. View at Publisher · View at Google Scholar · View at Scopus
10. Y. Zhang and L. Wu, “Bacterial chemotaxis optimization for protein folding model,” in Proceedings of the 5th International Conference on Natural Computation (ICNC '09), pp. 159–162, Tianjian, China, August 2009. View at Publisher · View at Google Scholar · View at Scopus
11. A. A. Albrecht, A. Skaliotis, and K. Steinhöfel, “Stochastic protein folding simulation in the three-dimensional HP-model,” Computational Biology and Chemistry, vol. 32, no. 4, pp. 248–255, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
12. M. Chen, A. D. Dousis, Y. Wu, P. Wittung-Stafshede, and J. Ma, “Predicting protein folding cores by empirical potential functions,” Archives of Biochemistry and Biophysics, vol. 483, no. 1, pp. 16–22, 2009. View at Publisher · View at Google Scholar · View at Scopus
13. V. Sharma, V. R. I. Kaila, and A. Annila, “Protein folding as an evolutionary process,” Physica A, vol. 388, no. 6, pp. 851–862, 2009. View at Publisher · View at Google Scholar · View at Scopus
14. Y. Zhang, L. Wu, Y. Huo, and S. Wang, “Chaotic clonal genetic algorithm for protein folding model,” in Proceedings of the International Conference on Computer Application and System Modeling (ICCASM '10), pp. V3120–V3124, October 2010. View at Publisher · View at Google Scholar · View at Scopus
15. X. Zhao, “Advances on protein folding simulations based on the lattice HP models with natural computing,” Applied Soft Computing Journal, vol. 8, no. 2, pp. 1029–1040, 2008. View at Publisher · View at Google Scholar · View at Scopus
16. “Protein Folding Contest Rules,” http://www.mathworks.com/matlabcentral/contest/contests/11/rules.
17. J. Senthilnath, S. N. Omkar, and V. Mani, “Clustering using firefly algorithm: performance study,” Swarm and Evolutionary Computation, vol. 1, no. 3, pp. 164–171, 2011. View at Publisher · View at Google Scholar
18. M.-H. Horng and R.-J. Liou, “Multilevel minimum cross entropy threshold selection based on the firefly algorithm,” Expert Systems With Applications, vol. 38, no. 12, pp. 14805–14811, 2011. View at Publisher · View at Google Scholar
19. X.-S. Yang, S. S. S. Hosseini, and A. H. Gandomi, “Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect,” Applied Soft Computing, vol. 12, no. 3, pp. 1180–1186, 2012. View at Publisher · View at Google Scholar
20. “The science behind Folding,” http://folding.stanford.edu/English/Science.
21. A. H. Gandomi, X.-S. Yang, and A. H. Alavi, “Mixed variable structural optimization using Firefly Algorithm,” Computers & Structures, vol. 89, no. 23-24, pp. 2325–2336, 2011.
22. M.-H. Horng, “Vector quantization using the firefly algorithm for image compression,” Expert Systems With Applications, vol. 39, no. 1, pp. 1078–1091, 2012. View at Publisher · View at Google Scholar