caa a22 4500 445391537 CHVBK 20180317143048.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s10955-011-0215-x doi (NATIONALLICENCE)springer-10.1007/s10955-011-0215-x Whose Entropy: A Maximal Entropy Analysis of Phosphorylation Signaling [Elektronische Daten] [F. Remacle, T. Graeber, R. Levine] High throughput experiments, characteristic of studies in systems biology, produce large output data sets often at different time points or under a variety of related conditions or for different patients. In several recent papers the data is modeled by using a distribution of maximal information-theoretic entropy. We pose the question: ‘whose entropy' meaning how do we select the variables whose distribution should be compared to that of maximal entropy. The point is that different choices can lead to different answers. Due to the technological advances that allow for the system-wide measurement of hundreds to thousands of events from biological samples, addressing this question is now part of the analysis of systems biology datasets. The analysis of the extent of phosphorylation in reference to the transformation potency of Bcr-Abl fusion oncogene mutants is used as a biological example. The approach taken seeks to use entropy not simply as a statistical measure of dispersion but as a physical, thermodynamic, state function. This highlights the dilemma of what are the variables that describe the state of the signaling network. Is what matters Boolean, spin-like, variables that specify whether a particular phosphorylation site is or is not actually phosphorylated. Or does the actual extent of phosphorylation matter. Last but not least is the possibility that in a signaling network some few specific phosphorylation sites are the key to the signal transduction even though these sites are not at any time abundantly phosphorylated in an absolute sense. Springer Science+Business Media, LLC, 2011 Information theory nationallicence Prior distribution nationallicence Systems biology nationallicence Signal transduction nationallicence High throughput experiments nationallicence Phosphoproteomics nationallicence Remacle F. Département de Chimie, B6c, Université de Liège, 4000, Liège, Belgium aut Graeber T. Crump Institute for Molecular Imaging and Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, 90095, Los Angeles, USA aut Levine R. Crump Institute for Molecular Imaging and Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, 90095, Los Angeles, USA aut Journal of Statistical Physics Springer US; http://www.springer-ny.com 144/2(2011-07-01), 429-442 0022-4715 144:2<429 2011 144 10955 https://doi.org/10.1007/s10955-011-0215-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10955-011-0215-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Remacle F. Département de Chimie, B6c, Université de Liège, 4000, Liège, Belgium aut NATIONALLICENCE 700 1- Graeber T. Crump Institute for Molecular Imaging and Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, 90095, Los Angeles, USA aut NATIONALLICENCE 700 1- Levine R. Crump Institute for Molecular Imaging and Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, 90095, Los Angeles, USA aut NATIONALLICENCE 773 0- Journal of Statistical Physics Springer US; http://www.springer-ny.com 144/2(2011-07-01), 429-442 0022-4715 144:2<429 2011 144 10955 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer