Identification and Modeling of Cells

细胞的识别和建模爱荷华州大学NSF ECS-0555394Erwei Bai抽象智力价值本研究的目的是开发和测试一种用于细胞建模的识别方法。该方法是基于细胞的生理和电学特性建立数学模型，并通过实验进行验证，从内皮细胞和上皮细胞开始。复杂细胞系统的辨识和建模不同于任何工程建模问题，对辨识研究人员提出了一项非常具有挑战性的任务。必须开发和分析新的识别方法。尤其是对于由非线性偏微分方程组描述的系统，必须发展辨识方法。预计研究结果将为其他非工程系统的识别和建模奠定基础。广泛的影响该研究将对在纳米水平上理解细胞和新药开发产生影响。例如，内皮细胞和上皮细胞提供保护性屏障，以维持组织隔间的动态平衡分离。炎症性疾病，例如一些肺部疾病，依赖于内皮细胞和上皮细胞-细胞和细胞-基质黏附的改变。了解这些行为对于治疗这些疾病是至关重要的。利用所建立的模型，可以研究不同药物刺激下细胞-细胞和细胞-基质的黏附特性，从而为新药的测试和开发提供依据。这项研究将对教育产生影响。它将导致博士/硕士论文，并为有前途的本科生提供参与最新研究的机会。

Identification and modeling of cellsNSF ECS-0555394Erwei Bai, University of IowaAbstractIntellectual MeritThe objective of this research is to develop and test an identification method for cell modeling. The approach is to build a mathematical model based on cells physiological and electrical properties and validated by experiments, starting with endothelial and epithelial cells. Identification and modeling of a complex cell system is unlike any engineering modeling problem and imposes a very challenge task to identification researchers. New identification methods have to be developed and analyzed. Especially, identification methods for systems described by a nonlinear partial differential equation have to be developed. It is expected that the results of the research will lay a foundation for identification and modeling of other non-engineering systems.Broader ImpactsThe research will impact on understanding of cells at the nanometer level and on new drug developments. For example, endothelial and epithelial cells provide protective barriers to maintain homeostatic separation of tissue compartments. Inflammatory disorders, e.g., a number of lung diseases, depend on alterations in endothelial and epithelial cell-cell and cell-matrix adhesion. It is critical to understand such behavior in order to treat these disorders. With the developed model, cell-cell and cell-matrix adhesion properties could be studied under different drug stimuli so new drugs could be tested and developed. The research will have an impact on education. It will lead to Ph.D./MS theses and provide promising undergraduate students an opportunity to be involved in the state of the art research.