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Application of evolutionary algorithms to protein folding prediction

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Artificial Evolution (AE 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1363))

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Abstract

The aim of this paper is to show how evolutionary algorithms can be applied to protein folding prediction. We start reviewing previous similar approaches, that we criticize emphasizing the key issue of representation. A new evolutionary algorithm is described, based on the notion of distance matrix representation, together with a software package that implements it. Finally, experimental results are discussed.

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Jin-Kao Hao Evelyne Lutton Edmund Ronald Marc Schoenauer Dominique Snyers

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© 1998 Springer-Verlag Berlin Heidelberg

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Piccolboni, A., Mauri, G. (1998). Application of evolutionary algorithms to protein folding prediction. In: Hao, JK., Lutton, E., Ronald, E., Schoenauer, M., Snyers, D. (eds) Artificial Evolution. AE 1997. Lecture Notes in Computer Science, vol 1363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0026595

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  • DOI: https://doi.org/10.1007/BFb0026595

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64169-8

  • Online ISBN: 978-3-540-69698-8

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