Abstract
It is useful to compare the complexity of the living cell with that of the atom. If the complexity of a physical system is expressed in terms of the algorithmic information content (defined as the number of words or bits needed to describe a system; see Sect. 4.3) and if we assume that the algorithmic information content of a system is approximately proportional to its volume, the complexity of the average cell would be about 1015 times that of the hydrogen atom (see Table 10.3). Think of the number of the articles (and the words or symbols in them) that have been published describing the essential features of the hydrogen atom, which can be easily in the hundreds. Then the number of the papers that would be needed to describe the essential features of the living cell could well reach 1017, a number equivalent to about a million papers written per person now living on this planet! This is probably why there are so many biological papers published every week in Science, prompting nonbiological scientists (such as one of my professors in chemistry at the University of Minnesota, Duluth, in the mid-1960s) to complain in effect that there are too many biological articles in Science. The situation is far worse now than it was a half century ago. As will become evident below, one simple answer to the title suggested by the Law of Requisite Variety (Sect. 5.3) is that the internal structure of the cell has to be complex in order to survive the environment that is at least as complex.
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References
Bacciagaluppi, G., Valenti, A.: Quantum Theory at the Crossroads: Reconsidering the 1927 Solvay Conference. Cambridge University Press, Cambridge (2009)
Ciechanover, A.: Proteolysis: from lysosome to ubiquitin and the proteosome. Nat. Rev. Mol. Cell Biol. 6, 79–87 (2005)
Costanzo, M., Bryshnikova, A., et al.: The genetic landscape of a cell. Science 327, 425–431 (2010)
Doxsey, S.: Re-evaluating centrosome function. Nat. Rev. Mol. Cell. Biol. 2, 688–698 (2001)
Ji, S.: The principles of ligand-protein interactions and their application to the mechanism of oxidative phosphorylation. In: Yagi, K. (ed.) Structure and Function of Biomembranes, pp. 25–37. Japan Scientific Societies Press, Tokyo (1979)
Ji, S.: Biocybernetics: a machine theory of biology. In: Ji, S. (ed.) Molecular Theories of Cell Life and Death, pp. 1–237. Rutgers University Press, New Brunswick (1991)
Ji, S., Chaovalitwongse, A., Fefferman, N., Yoo, W., Perez-Ortin, J.E.: Mechanism-based clustering of genome-wide mRNA levels: roles of transcription and transcript-degradation rates. In: Butenko, S., Chaovalitwongse, A., Pardalos, P. (eds.) Clustering Challenges in Biological Networks, pp. 237–255. World Scientific Publishing Co, Singapore (2009a)
Ji, S., Davidson, A., Bianchini, J.: Genes as molecular machines: microarray evidence that structural genes regulate their own transcripts, A poster presented at the 2009 Joint RECOMB Satellite Conference on Regualtory Genomics, Systems Biology and DREAM4, MIT/The Broad Institute, Cambridge, MA, p. 99 (2009c)
Klir, G.J.: Developments in uncertainty-based information. Adv. Comput. 36, 255–332 (1993)
Lu, H.P., Xun, L., Xie, X.S.: Single-molecule enzymatic dynamics. Science 282, 1877–1882 (1998)
Mattick, J.S.: RNA regulation: a new genetics? Nat. Rev. Genet. 5, 316–323 (2004)
Mendes-Ferreira, A., del Olmo, M., GarcÃa-MartÃnez, J., Jimenez-MartÃ, A., Mendes-Faia, A., Pérez-OrtÃn, J.E., Leão, C.: Trsnscriptional response of saccharomyces cerevisiae to different nitrogen concnetrations during alcoholic fermentaion. Appl. Environ. Microbiol. 73(9), 3049–3060 (2007)
Mitchell, P.: Coupling of phosphorylation to electron and hydrogen transfer by a chemiosmotic type of mechanism. Nature 191, 144–148 (1961)
Mitchell, P.: Chemiosmotic Coupling and Energy Transduction. Glyn Research Ltd, Bodmin (1968)
Murdoch, D.: Niels Bohr’s Philosophy of Physics. Cambridge University Press, Cambridge (1987)
Plotnitsky, A.: Reading Bohr: Physics and Philosophy. Springer, Kindle Edition (2006)
Prigogine, I.: Dissipative structures and biological order. Adv. Biol. Med. Phys. 16, 99–113 (1977)
Prigogine, I.: From Being To Becoming: Time and complexity in Physical Sciences, pp. 19–26. W. H. Freeman and Company, San Francisco (1980)
Prigogine, I.: Schrödinger and the riddle of life. In: Ji, S. (ed.) Molecular Theories of Cell Life and Death, pp. 239–242. Rutgers University Press, New Brunswick (1991)
Spirkin, A.: Dialectical Materialism, Progress Publishers, Moscow. The on-line edition transcribed by R. J. Cymbala in 2002 is available at document. http://www.marxists.org/reference/archive/spirkin/works/dialectical- materialism/ch02-s09.htm (1983)
Stumpf, M.P.H., Thorne, T., de Silva, E., Stewart, R., An, H.J., Lappe, M., Wiuf, C.: Estimating the size of the human interactome. Proc. Nat. Acad. Sci. USA 105, 6959–6964 (2008)
Zeldovich, K.B., Shakhnovich, E.I.: Understanding protein evolution: from proteins physics to Darwinian selection. Ann. Rev. Phys. Chem. 59, 105–127 (2008)
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Ji, S. (2012). Why Is the Cell So Complex?. In: Molecular Theory of the Living Cell. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2152-8_17
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