Abstract
Discovering biological importance from protein structures needs to utilize heuristic approaches. Since three-dimensional(3D) protein structures play a crucial role in biological reactions, comparing new proteins with well-studied proteins is vital for understanding the native functions. A few residues forming in geometrically close positions activate such biological functions.
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References
Ono, I., Kobayashi, S.: A Real-coded Genetic Algorithm for function optimization using unimodal normal distribution crossover. Proc. the 7th ICGA (1997) 246–253
May, A.C.W., Johnson, M.S.: Improved genetic algorithm-based protein structure comparisons: pairwise and multiple superpositions. Protein Engng. 8 (1995) 873–882
Chothia, C., Lesk, A.M.: The relation between the divergence of sequence and structure in proteins. EMBO J. 5 (1986) 823–826
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© 2003 Springer-Verlag Berlin Heidelberg
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Park, SJ., Yamamura, M. (2003). Real-Coded Genetic Algorithm to Reveal Biological Significant Sites of Remotely Homologous Proteins. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2724. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45110-2_45
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DOI: https://doi.org/10.1007/3-540-45110-2_45
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