CAREER: Mathematics for Biological Engineering

yiannis N. kaznessis明尼苏达大学(university of minnesota) -0644792该项目的研究目标是发展生物工程数学，研究和设计理论与实验相结合的诱导型基因表达系统。教育目标是培养和吸引新一代的工程师和科学家来计算和实验系统生物学。让高中教师和学生接触计算生物工程是一个特殊的教育/推广目标。智力优势：当前生物知识的快速扩展为合理地设计对信号作出反应的生物系统提供了巨大的机会。动态基因调控中涉及的大量成分和相互作用保证了定量系统生物学的观点。数学理论的建立和所有已知的转录/翻译调控分子事件的精确模型可以为基因网络的动态行为提供新的描述性和预测性的见解。提议的活动促进了计算系统和合成生物学的知识。它们还导致了新的基因调控网络，如生物与门。更广泛的影响：工程细胞将像微型工厂一样发挥作用的雄心勃勃的想法已经产生了新的研究领域，系统和合成生物学。目标是从自然生物系统中设计和建造新的生物部件、设备和系统。所提出的计算生物工程理论和算法将对理性生物工程产生积极的影响。广泛的应用范围包括生物燃料开发，生化和化学武器探测器，去除环境污染物的设备，疾病诊断，基因治疗，甚至工程微生物从阳光和水中产生氢。以工程应用为目标的计算和数学生物学是令人兴奋的领域。协助高中教师利用明尼苏达大学大量的计算生物学资源，并教他们如何在计算机中有效地结合数学和生物学是本项目详细介绍的优先事项。预期的结果是参与者有能力指导高中生计算生物学的基本概念，并最终对追求科学/工程职业感兴趣的高中生。

CAREER: Mathematics for Biological EngineeringYiannis N. KaznessisUniversity of MinnesotaBES-0644792The research objective of this project is to develop the mathematics of biological engineering and to investigate and design inducible gene expression systems combining theory and experiments. The education objective is to train and attract a new generation of engineers and scientists to computational and experimental systems biology. Exposing high school teachers and students to computational bioengineering is a specific educational/outreach aim. Intellectual merit: The current rapid expansion of biological knowledge offers a great opportunity to rationally engineer biological systems that respond to signals. The large number of components and interactions involved in dynamic gene regulation warrants a quantitative systems biology perspective. The creation of mathematical theories and accurate models of all known molecular events involved in transcriptional/translational regulation can provide new descriptive and predictive insight into the dynamic behavior of gene networks. The proposed activities advance knowledge in computational systems and synthetic biology. They also result in novel gene regulatory networks, such as bio-logical AND gates. Broader impacts: The ambitious idea of engineering cells that will function as miniature factories has given rise to new fields of research, systems and synthetic biology. The objectives are the design and construction of new biological parts, devices and systems from natural biological systems. The computational bioengineering theories and algorithms proposed will positively impact rational biological engineering. Broad applications range from biofuel development, to detectors for biochemical and chemical weapons, to devices that will remove environmental pollutants, to disease diagnosis, to gene therapies, even to engineered microbes to produce hydrogen from sunlight and water. Computational and mathematical biology, implemented with an eye towards engineering applications, are exciting fields. Assisting high school teachers to employ the considerable computational biology resources at the University of Minnesota and teaching them how mathematics and biology can be combined productively in the computer is a priority detailed in this project. Expected outcomes are participants with the ability to instruct high school students in the fundamental concepts of computational biology, and eventually high school students interested in pursuing a science/engineering career.