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International Parallel Processing Symposium

IPPS 1998: Parallel and Distributed Processing pp 207–215Cite as

Computing with evolving proteins

  • Worshop on Bioligically Inspired Solutions to Parallel Processing Problems Albert Y. Zomaya, The University of Western Australia Fikret Ercal, Universtiy of Missouri-Rolla Stephan Olariu, Old Dominion University
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1388))

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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Authors and Affiliations

  1. BT Labs, Martlesham Heath, IP5 7RE, Ipswich, UK

    J. L. Fernández-Villacañas, J. M. Fatah & S. Amin

Authors
  1. J. L. Fernández-Villacañas
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  2. J. M. Fatah
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  3. S. Amin
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Editor information

José Rolim

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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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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64359-3

  • Online ISBN: 978-3-540-69756-5

  • eBook Packages: Springer Book Archive

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