Modeling and simulation of biological systems with stochasticity.

摘要: Mathematical modeling is a powerful approach for understanding the complexity of biological systems. Recently, several successful attempts have been made simulating complex processes like metabolic pathways, gene regulatory networks and cell signaling pathways. The pathway models not only generated experimentally verifiable hypothesis but also provided valuable insights into behavior Many recent studies confirmed phenotypic variability organisms to an inherent stochasticity that operates at basal level expression. Due this reason, development novel mathematical representations simulations algorithms are critical efforts in key find biologically relevant representation each representation. Although mathematically rigorous physically consistent, stochastic computationally expensive, they successfully used model probabilistic events cell. This paper offers overview various computational approaches phenomena cellular