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Biophysics at the systems level, as distinct from molecular biophysics, acquired its most famous paradigm in the work of Hodgkin and Huxley, who integrated their equations for the nerve impulse in 1952. Their approach has since been extended to other organs of the body, notably including the heart. The modern field of computational biology has expanded rapidly during the first decade of the twenty-first century and, through its contribution to what is now called systems biology, it is set to revise many of the fundamental principles of biology, including the relations between genotypes and phenotypes. Evolutionary theory, in particular, will require re-assessment. To succeed in this, computational and systems biology will need to develop the theoretical framework required to deal with multilevel interactions. While computational power is necessary, and is forthcoming, it is not sufficient. We will also require mathematical insight, perhaps of a nature we have not yet identified. This article is therefore also a challenge to mathematicians to develop such insights.

Original publication

DOI

10.1098/rsta.2009.0245

Type

Journal article

Journal

Philos Trans A Math Phys Eng Sci

Publication Date

13/03/2010

Volume

368

Pages

1125 - 1139

Keywords

Animals, Biophysics, Evolution, Molecular, Genetic Engineering, Humans, Molecular Biology, Stochastic Processes, Systems Biology