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Parallel Stochastic Discrete Event Simulation of Calcium Dynamics in Neuron.
IEEE/ACM Trans Comput Biol Bioinform ; 16(3): 1007-1019, 2019.
Article en En | MEDLINE | ID: mdl-28961124
The intra-cellular calcium signaling pathways of a neuron depends on both biochemical reactions and diffusions. Some quasi-isolated compartments (e.g., spines) are so small and calcium concentrations are so low that one extra molecule diffusing in by chance can make a nontrivial difference in concentration (percentage-wise). These rare events can affect dynamics discretely in such a way that they cannot be evaluated by a deterministic and continuous simulation. Stochastic models of such a system provide a more detailed understanding of these systems than existing deterministic models because they capture their behavior at a molecular level. Our research focuses on the development of a high performance parallel discrete event simulation environment, Neuron Time Warp (NTW), which is intended for use in the parallel simulation of stochastic reaction-diffusion systems such as intra-calcium signaling. NTW is integrated with NEURON, a simulator which is widely used within the neuroscience community. We simulate two models, a calcium buffer and a calcium wave model. The calcium buffer model is employed in order to verify the correctness and performance of NTW by comparing it to a sequential deterministic simulation in NEURON. We also derived a discrete event calcium wave model from a deterministic model using the stochastic $\text{IP}_{3}\text{R}$IP3R structure.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calcio / Señalización del Calcio / Neuronas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: ACM Trans Comput Biol Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calcio / Señalización del Calcio / Neuronas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: ACM Trans Comput Biol Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos