Abstract
‘Bioinformatics’ is used to describe computational topics in molecular and cellular biology. As a discipline it involves cross-fertilisation of ideas between computer science and modern biology. DNA, RNA and protein are classes of macromolecule whose members play several roles including inheritance, biological information processing, signal transduction and catalysis. Methods of classifying these molecules are central to current methods for elucidating relationships between sequence, structure and function. We take as a case study metaphors for the function of proteins and point to a unified view of proteins as computational devices capable of matching patterns as inputs and processing to result in alternative outputs. Finally we consider the requirement for a systems view of life in order to construct new models for the era of post-genomic biomedicine. The subject has an ethical dimension and we consider the case that such models are metaphoric constructions.
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Nagl, S.B., Parish, J.H., Paton, R.C., Warner, G.J. (2004). Macromolecules, Genomes and Ourselves. In: Paton, R., Bolouri, H., Holcombe, M., Parish, J.H., Tateson, R. (eds) Computation in Cells and Tissues. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-06369-9_7
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DOI: https://doi.org/10.1007/978-3-662-06369-9_7
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