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METHODS AND SYSTEMS FOR DRUG SCREENING AND COMPUTATIONAL MODELING BASED ON BIOLOGICALLY REALISTIC NEURONS

机译:基于生物现实神经元的药物筛选和计算建模的方法和系统

摘要

A method for screening a test composition for potential efficacy in treatment of a disorder includes a first computer model representative of a volume of disease-afflicted neural tissue comprising biologically realistic neurons exposed to the test composition; and providing an initial excitation to the first computer model. Following a selected computation interval, a first outcome is determined. The first outcome indicates a response of the first computer model to the initial excitation and indicates whether the test composition has the potential to be effective in treating the disorder.
机译:一种用于筛选测试组合物治疗疾病的潜在功效的方法,其包括代表受疾病影响的神经组织的体积的第一计算机模型,所述神经组织包括暴露于所述测试组合物的生物学真实神经元。并为第一计算机模型提供初始激励。在选择的计算间隔之后,确定第一结果。第一结果表明第一计算机模型对初始激发的反应,并表明测试组合物是否具有有效治疗疾病的潜力。

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