Computational modeling and analysis of the dynamics of control mechanisms in molecular interaction networks of neurons

神经元分子相互作用网络控制机制动力学的计算建模和分析

• 批准号: 418603-2012
• 负责人: Hardy, Simon
• 金额: $ 1.38万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=551500
• 关键词: Computational; modeling; analysis; dynamics; control

The recent technical innovations in measurement of cellular phenomena provide the means to collect data required for quantitative modeling of cell biology systems. Nowadays, a growing number of biologists adopt a systems biology approach and integrate computational modeling and simulation with experiments in their scientific endeavor. In such setting, modeling can be a tool to generate testable hypotheses and to facilitate understanding. In the cell, biochemical signals are rarely propagated by simple, direct paths, but rather through a network of molecular interactions. With modeling, it is possible to understand the complex dynamics of this network. From a theoretical perspective, to achieve this understanding, one needs more realistic models and analysis methods of simulation data that highlight systemic properties.

细胞现象测量的最新技术创新提供了收集细胞生物学系统定量建模所需数据的手段。如今，越来越多的生物学家采用系统生物学方法，并将计算建模和模拟与实验结合起来。在这种情况下，建模可以是一种工具，以产生可检验的假设，并促进理解。在细胞中，生化信号很少通过简单直接的途径传播，而是通过分子相互作用的网络传播。通过建模，可以理解这个网络的复杂动态。从理论的角度来看，要实现这一理解，需要更现实的模型和模拟数据的分析方法，突出系统性。