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Image Processing, vol. 14, no. 9, pp. 1396-1410, 2005. 2. F. Frischknecht, P. Baldacci, B. Martin, C. Zimmer, 5. -C. Olivo-Marin, S. L. Shorte, and R. Menard, Imaging movement of malaria parasites during transmission by Anopheles mosquitoes, Cell Microbiol, vol. 6, no. 7, pp. 687-94, 2004. 3. V. -C. Olivo-Marin, H. Scherthan, V. Doyle, N. Rascalou, and U. Nerhbass, Nuclear pore complexes in the organization of silent telomeric chromatin, Nature, vol. 403, pp. 108-112, 2000. 4. A. Genovesio, B. -C.
The neighbor with the highest gain) from each list. If some positions have no valid moves on the first pass, the algorithm attempts to make moves at these positions after trying all positions once. This ensures that the algorithm makes moves at nearly every position down a chain, and also provides a good starting point for the next phase. e. it improves the value of the scoring function—the algorithm makes the move. This progressive refinement phase terminates upon failing to find any move to make.
8. S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi. Optimization by simulated annealing. Science, 220:671680, 1983. 9. R. Kolodny, P. Koehl, L. Guibas, and M. Levitt. Small libraries of protein fragments model native protein structures accurately. Journal of Molecular Biology, 323:297-307, 2002. 10. J. Lee, S. Kim, K. Joo, I. Kim, and J. Lee. Prediction of protein tertiary structure using profesy, a novel method based on fragment assembly and conformational space annealing. PROTEINS: Structure, function and bioinformatics, 2004.