Computational Methods for Cell Systems Analysis

描述（由申请人提供）：在过去的十年中，高通量实验和计算方法的引入有望彻底改变细胞生物学的方法和理解。我们建议在此基础上开发计算工具和方法，使研究人员能够开始了解集体细胞特性，并大力加强旨在培养新一代生物学家的教育计划，使他们能够创造性地使用这些方法。目标是开发并广泛使用基于统计学、计算机科学和理论化学概念的大量技术，并开发一个利用其协同特性的系统，并允许将新数据和现有数据整合起来，这些方法将在此基础上运行。作为一个示范项目，我们重点研究了与人类细胞系生长和凋亡调控相关的两个已被充分研究的途径，并测试了这些方法揭示这些途径及其调节的基因和蛋白质级联之间关系的能力。一个组织的计划将由来自计算机科学、实验和临床科学以及统计学的一大群教师开发，该组织将教育下一代生物医学研究人员，同时创造新的方法和推进生物医学科学。

DESCRIPTION (provided by applicant): The past decade has seen the introduction of high throughput experimental and computational methods that promise to revolutionize the approach to, and understanding of, the biology of the cell. We propose to build on this foundation by developing the computational tools and methods that will enable researchers to begin to understand collective cellular properties, and by substantially strengthening an educational program designed to train a new generation of biologists who can use these methods creatively. The goal is to develop and make widely available a large array of techniques that build upon concepts from statistics, computer science and theoretical chemistry, and to develop a system that takes advantage of their synergistic nature, and that allows integration of new and existing data upon which the methods would operate. As a demonstration project we focus on two well studied pathways related to the regulation of growth and apoptosis in a human cell line, and test the ability of these methods to unravel the relation between these pathways and the cascades of genes and proteins that they modulate. Plans for an organization that will educate the next generation of biomedical researchers, while creating new methodologies and advancing biomedical science will be developed by a large group of faculty from computer science, the experimental and clinical sciences, and statistics.