title: Dynamic compensation, parameter identifiability, and equivariances.
abstract: A recent paper by Karin et al. introduced a mathematical notion called dynamical compensation (DC) of biological circuits. DC was shown to play an important role in glucose homeostasis as well as other key physiological regulatory mechanisms. Karin et al. went on to provide a sufficient condition to test whether a given system has the DC property. Here, we show how DC can be formulated in terms of a well-known concept in systems biology, statistics, and control theory-that of parameter structural non-identifiability. Viewing DC as a parameter identification problem enables one to take advantage of powerful theoretical and computational tools to test a system for DC. We obtain as a special case the sufficient criterion discussed by Karin et al. We also draw connections to system equivalence and to the fold-change detection property.
authors.affiliation: Department of Mathematics and Center for Quantitative Biology, Hill Center, Rutgers University, Piscataway, New Jersey, United States of America.
authors.forename: Eduardo D
authors.identifier: 0000-0001-8020-5783
authors.initials: ED
authors.lastname: Sontag
mesh_terms: D000465:Algorithms; D008954:Models, Biological; D049490:Systems Biology