caa a22 4500 445391499 CHVBK 20180317143048.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s10955-011-0229-4 doi (NATIONALLICENCE)springer-10.1007/s10955-011-0229-4 Are Biological Systems Poised at Criticality? [Elektronische Daten] [Thierry Mora, William Bialek] Many of life's most fascinating phenomena emerge from interactions among many elements—many amino acids determine the structure of a single protein, many genes determine the fate of a cell, many neurons are involved in shaping our thoughts and memories. Physicists have long hoped that these collective behaviors could be described using the ideas and methods of statistical mechanics. In the past few years, new, larger scale experiments have made it possible to construct statistical mechanics models of biological systems directly from real data. We review the surprising successes of this "inverse” approach, using examples from families of proteins, networks of neurons, and flocks of birds. Remarkably, in all these cases the models that emerge from the data are poised near a very special point in their parameter space—a critical point. This suggests there may be some deeper theoretical principle behind the behavior of these diverse systems. Springer Science+Business Media, LLC, 2011 Critical point nationallicence Maximum entropy model nationallicence Biological networks nationallicence Proteins nationallicence Collective behavior nationallicence Mora Thierry Joseph Henry Laboratories of Physics, Lewis-Sigler Institute for Integrative Genomics, Princeton University, 08544, Princeton, NJ, USA aut Bialek William Joseph Henry Laboratories of Physics, Lewis-Sigler Institute for Integrative Genomics, Princeton University, 08544, Princeton, NJ, USA aut Journal of Statistical Physics Springer US; http://www.springer-ny.com 144/2(2011-07-01), 268-302 0022-4715 144:2<268 2011 144 10955 https://doi.org/10.1007/s10955-011-0229-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10955-011-0229-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mora Thierry Joseph Henry Laboratories of Physics, Lewis-Sigler Institute for Integrative Genomics, Princeton University, 08544, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Bialek William Joseph Henry Laboratories of Physics, Lewis-Sigler Institute for Integrative Genomics, Princeton University, 08544, Princeton, NJ, USA aut NATIONALLICENCE 773 0- Journal of Statistical Physics Springer US; http://www.springer-ny.com 144/2(2011-07-01), 268-302 0022-4715 144:2<268 2011 144 10955 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer