CAREER:A hybrid experimental and computational program to elucidate the molecular differentiation program of a model stem cell

该奖项由2009年《美国复苏和再投资法》(公法111-5)资助。0846876 VarnerIntelligence优点：该项目将提供工具和方法，使蛋白质-蛋白质和蛋白质-DNA相互作用网络的机械数学模型的制定、识别和分析能够取得进展。尽管正在探索的实验系统是一个简单的成人干细胞，但所提出的工具是网络不可知论者，因此，它们可以应用于细胞生物学中几乎任何感兴趣的网络的研究。首席研究人员热切希望证明大规模建模在生物分子工程中具有决定性的作用，并提供工具，允许非计算科学家在他们的研究工作中使用建模和数学分析。这项拟议的研究是迈向这一目标的关键的第一步。广泛的影响：该项目将导致为干细胞分化网络的建模和分析开发计算工具，并将促进与细胞生物学中的公开问题相关的网络的机械建模的艺术水平。该项目非常适合研究生和本科生的跨学科教育。这项研究是以实验和计算为重点的，并将试图在这两个方面各自推进最先进的技术。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).0846876VarnerIntellectual Merit: This project will provide tools and methodologies that will enable advancements in the formulation, identification and analysis of mechanistic mathematical models of protein-protein and protein-DNA interaction networks. Although the experimental system being explored is a simple adult stem-cell, the proposed tools are network agnostics, thus, they can be applied to the study of virtually any network of interest in cell-biology. It is the earnest hope of the Principal Investigator to demonstrate that large-scale modeling has a definitive role in biomolecular engineering and to provide tools that allow non-computational scientists to use modeling and mathematical analysis in their research efforts. The proposed research is a critical first-step toward this goal.Broader Impact: The project will result in the development of computational tools for the modeling and analysis of stem-cell differentiation networks and will advance the state of the art of mechanistic modeling of networks relevant to open questions in cell-biology. The project is ideally suited for cross-disciplinary education of graduate and undergraduate students. The research is experimentally and computationally focused and will attempt to advance the state of the art in each these two aspects.