Discrete event simulations of an integrated trouble management system

1999 ◽  
Vol 22 (2) ◽  
pp. 231-239
Author(s):  
Chun‐Lien Su ◽  
Chan‐Nan Lu ◽  
Yuh‐Tzong Lin ◽  
King‐Chun Tu
Keyword(s):  
Management System ◽  
Discrete Event ◽  
Discrete Event Simulations ◽  
Event Simulations

scholarly journals Pathway Complexity of Model Virus Capsid Assembly Systems

2008 ◽  
Vol 9 (3-4) ◽  
pp. 277-293 ◽  
Author(s):  
Navodit Misra ◽  
Daniel Lees ◽  
Tiequan Zhang ◽  
Russell Schwartz
Keyword(s):  
Discrete Event ◽  
Reaction Pathways ◽  
Assembly Systems ◽  
Capsid Assembly ◽  
Reaction Systems ◽  
Discrete Event Simulations ◽  
Differential Equation Models ◽  
Assembly Kinetics ◽  
Pathway Models ◽  
Event Simulations

As computational and mathematical studies become increasingly central to studies of complicated reaction systems, it will become ever more important to identify the assumptions our models must make and determine when those assumptions are valid. Here, we examine that question with respect to viral capsid assembly by studying the ‘pathway complexity’ of model capsid assembly systems, which we informally define as the number of reaction pathways and intermediates one must consider to accurately describe a given system. We use two model types for this study: ordinary differential equation models, which allow us to precisely and deterministically compare the accuracy of capsid models under different degrees of simplification, and stochastic discrete event simulations, which allow us to sample use of reaction intermediates across a wide parameter space allowing for an extremely large number of possible reaction pathways. The models provide complementary information in support of a common conclusion that the ability of simple pathway models to adequately explain capsid assembly kinetics varies considerably across the space of biologically meaningful assembly parameters. These studies provide grounds for caution regarding our ability to reliably represent real systems with simple models and to extrapolate results from one set of assembly conditions to another. In addition, the analysis tools developed for this study are likely to have broader use in the analysis and efficient simulation of large reaction systems.

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