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I will discuss the theoretical derivation of several new computational methods for modeling stochastic biochemical networks developed in my group. These include "ER-Leap", an exact acceleration of Gillespie's stochastic simulation algorithm; a hierarchical version of ERLeap which can be parallelized; the "Graph-Constrained Correlation Dynamics" method for model reduction, which seeks to maintain a Boltzmann distribution approximation to the probabilistic system state; and a method for learning the parameters in stochastic chemical kinetic models. Joint work with David Orendorff, Todd Johnson, Yuanfeng Wang, Scott Christley, and Xiaohui Xie. Host: S. Gnanakaran, 5-1923, ghana@lanl.gov |