TY - JOUR
T1 - Computing life: add Logos to Biology and Bios to Physics
AU - Kolodkin, A.N.
AU - Simeonidis, E.
AU - Westerhoff, H.V.
PY - 2013
Y1 - 2013
N2 - This paper discusses the interrelations between physics and biology. Particularly, we analyse the approaches for reconstructing the emergent properties of physical or biological systems. We propose approaches to scale emergence according to the degree of state-dependency of the system's component properties. Since the component properties of biological systems are state-dependent to a high extent, biological emergence should be considered as very strong emergence - i.e. its reconstruction would require a lot of information about state-dependency of its component properties. However, due to its complexity and volume, this information cannot be handled in the naked human brain, or on the back of an envelope. To solve this problem, biological emergence can be reconstructed in silico based on experimentally determined rate laws and parameter values of the living cell.According to some rough calculations, the silicon human might comprise the mathematical descriptions of around 10
AB - This paper discusses the interrelations between physics and biology. Particularly, we analyse the approaches for reconstructing the emergent properties of physical or biological systems. We propose approaches to scale emergence according to the degree of state-dependency of the system's component properties. Since the component properties of biological systems are state-dependent to a high extent, biological emergence should be considered as very strong emergence - i.e. its reconstruction would require a lot of information about state-dependency of its component properties. However, due to its complexity and volume, this information cannot be handled in the naked human brain, or on the back of an envelope. To solve this problem, biological emergence can be reconstructed in silico based on experimentally determined rate laws and parameter values of the living cell.According to some rough calculations, the silicon human might comprise the mathematical descriptions of around 10
U2 - 10.1016/j.pbiomolbio.2012.10.003
DO - 10.1016/j.pbiomolbio.2012.10.003
M3 - Article
SN - 0079-6107
VL - 111
SP - 69
EP - 74
JO - Progress in Biophysics and Molecular Biology
JF - Progress in Biophysics and Molecular Biology
ER -