UBM Group - An Integrative Biomathematical Learning and Empowerment Network for Diversity (iBLEND)

该项目建立在之前的UBM Group项目（0634598）之上。它的首要目标是鼓励、支持和支持学生在数学和生物学的界面上进行研究，如蛋白质超家族的功能位点分析、植物化学成分和动力学的定量测定、Arabadopsis中的类黄酮信号传导和途径建模、微生物发病机制和癌症进展动力学。它利用新建立的基因组学、蛋白质组学和计算核心实验室，并通过其对数学和生物学学生和教师的跨学科团队的支持，帮助催化北卡罗来纳农工州立大学（NCATSU）在研究和课程努力中增加跨学科（数学/生物）方法的倡议。智力优势：该项目由数学系、生物系和通识教育系共同协调，有助于扩大我校研究和教育的智力基础。数学建模和系统生物学的交叉应用性质有利于来自不同学科的学生一起工作，获得比单个研究者项目更广阔的视野。建模的智力焦点和工具涵盖了从预测到识别机械结构的范围。研究主题的具体结构，以补充每个研究导师的个人优势和情况。数学-生物学学生团队在特定项目上协同工作，以获得生物学应用数学模型的经验。他们通过对整体动力系统模型的数学分析和各种数值方法和模拟，对分子、细胞和有机体水平的控制过程有了更深入的了解。更广泛的影响：该项目正在扩大生物数学相关专业的多样性；提供研究与课堂活动之间的相互加强；并在生物数学界面上为学习和教学提供一个协作网络。它是建立课程框架的典范，加上有意义的本科生合作研究经验，吸引和留住少数民族学生进入生物数学研究生学习的竞争轨道。数学系和生物系共同寻求通过向其他机构广泛传播有关其成果的信息来扩大其成功。

This project builds on a previous UBM Group project (0634598). Its overarching goal is to encourage, enable, and support students to do research at the interface of mathematics and biology on such diverse topics as functional site analysis of protein superfamilies, quantitative determination of phytochemical components and dynamics, flavanoid signaling and pathway modeling in Arabadopsis, mechanisms of microbial pathogenesis, and dynamics of cancer progression. It takes advantage of newly established genomics, proteomics and computational core laboratories and, through its support of interdisciplinary teams of mathematics and biology students and faculty, is helping to catalyze North Carolina A&T State University's (NCATSU) initiative to increase interdisciplinary (Math/bio) approaches in their research and curricular efforts. Intellectual Merit: The project is being coordinated by the Mathematics, Biology, and General Education Departments and is helping to expand the intellectual foundation of both research and education at NCATSU. The cross-cutting applied nature of mathematical modeling and systems biology facilitates students from different disciplines working together and gaining a broader view than single-investigator projects. The modeling intellectual focus and tools span the range from prediction to identification of mechanistic structures. The research themes are specifically structured to complement the individual strengths and circumstances of each research mentor. Math-biology student teams work in tandem on specific projects in order to gain experience with mathematical models of biological applications. They are gaining a deeper understanding of the governing processes at the molecular, cellular, and organismal level through mathematical analysis of the overall dynamical system models and various numerical methods and simulations. Broader Impact: The project is broadening diversity in biomathematics-related professions; providing mutual reinforcement between research and classroom activity; and providing a collaborative network for learning and teaching at the biomathematics interface. It is serving as a model for building curricular frameworks, coupled with meaningful undergraduate collaborative research experiences that attract and retain minority students on a competitive trajectory for biomathematical graduate study. The Mathematics and Biology Departments together are seeking to expand its success by disseminating information about its outcomes to a broad spectrum of other institutions.