Abstract
Dynamic Local Search [1] has been applied to the evolution of interactions between protein-like structures. These are composed of a randomly selected sequence of amino acids that are linked together to form linear polymers in three dimensions. The objective function chosen for optimisation is the potential energy given by a Toy protein model. Proteins fold, move and interact with other chains to minimise their objective function at a given rate, F,ote, depending on the sum of the rates for re-organisation of their structures. The interaction between different proteins gives a whole range of local attraction/repulsion regimes that result in new structures with new bonds, broken bonds and recursive loops.
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© 1998 Springer-Verlag Berlin Heidelberg
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Fernández-Villacañas, J.L., Fatah, J.M., Amin, S. (1998). Computing with evolving proteins. In: Rolim, J. (eds) Parallel and Distributed Processing. IPPS 1998. Lecture Notes in Computer Science, vol 1388. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64359-1_690
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DOI: https://doi.org/10.1007/3-540-64359-1_690
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