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Symmetry is one of the most fundamental properties of nature and is used to understand and investigate physical properties. Classically, symmetry is treated as a binary qualitative property, although other physical properties are quantitative. Using the continuous symmetry measure (CSM) methodology one can quantify symmetry and correlate it quantitatively(More)
The continuous symmetry methodology has been developed to provide a quantitative estimation for the degree of a selected symmetry point-group in a molecular structure. Previous developed measures included the C(S), C(n), S(n) (including C(i)) symmetries, several polyhedral symmetries, and the related chirality measure. Motivated by the abundance and(More)
  • Baruch Barzel, Ofer Biham, +6 authors Jacques Le-Bourlot
  • 2014
Network link prediction by global silencing of indirect correlations. 82, 021117-28 (2010). Dimensional reduction of the master equation for stochastic chemical networks: The reduced-multiplane method. [Link] switching times in the genetic toggle switch and other bi-stable systems. [Link] Evaluation of the multiplane method for efficient simulations of(More)
Chemical reaction networks which exhibit strong fluctuations are common in microscopic systems in which reactants appear in low copy numbers. The analysis of these networks requires stochastic methods, which come in two forms: direct integration of the master equation and Monte Carlo simulations. The master equation becomes infeasible for large networks(More)
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