RII Track-2 FEC: Data Driven Material Discovery Center for Bioengineering Innovation

RII Track-2 FEC：生物工程创新数据驱动材料发现中心

• 批准号: 1920954
• 负责人: Robb Winter
• 金额: $ 600万
• 依托单位: South Dakota School of Mines and Technology
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1920954&HistoricalAwards=false
• 关键词: RII; Track; FEC; Data; Driven

Microbes attached to surfaces, commonly known as biofilms, represent multi-million dollar challenges and opportunities in municipal water, marine, manufacturing and oil and gas sectors and a range of other engineering and medical applications. The study of biofilms at the cellular level and the study of materials at the atomic level generate extremely large amounts of rich data. To mine this data and establish connections between biofilm growth and material properties, this Research Infrastructure Improvement Track-2 Focused EPSCoR Collaborations (RII Track-2 FEC) award will form a new collaboration between South Dakota School of Mines and Technology, Montana State University, the University of Nebraska - Omaha and the University of South Dakota to develop Big Data Analytic Tools. This team will develop the Biofilms Data and Information Discovery system (Biofilm-DIDs) to collect and combine these large data sets using artificial intelligence to analyze and predict gene responses and biofilm characteristics influenced by surface properties. By accomplishing this goal the team intends to rapidly accelerate the pace of discovery of new materials to control and leverage biofilm growth. This project will provide education, training and workforce development opportunities for a diverse cohort of junior faculty and post-doctoral researchers and graduate, undergraduate and high-school teachers and students.The primary objective of this project is to develop Big Data Analytic Tools for understanding rules of life in biofilms on technologically relevant materials modified with an emerging class of single-atom thick, two-dimensional (2D) materials. This will be accomplished by developing the Data Driven Material Discovery (DDMD) Center for Bioengineering Innovation, which will coalesce diverse infrastructure in bioscience, computer science, and material science from South Dakota School of Mines & Technology, Montana State University, the University of Nebraska-Omaha and the University of South Dakota to develop the unique Biofilm-DID system. The DDMD Center will focus on the development of novel interdisciplinary approaches and data analytics to track biofilm phenotypes on 2D materials, coupled with -omics analyses of sulfate-reducing biofilm phenotypes to discover rules of biofilm assembly and organization governed by atomic-scale material surface features. The DDMD Center?s areas of research will include: big data mining, machine learning, and predictive modeling; 2D materials for biological applications; and biofilm composition and diversity. The Biofilm-DIDs will be developed, calibrated and validated to provide a scientific platform for interrogating biological mechanisms in response to nano-scale properties. This platform will be leveraged to understand how the substrate crystallographic orientations and point defects in coatings affect gene expression, signaling pathways, metabolites, and structure formation controlling stress resistance, extracellular electron transfer, and biocorrosion mechanisms of biofilms. The DDMD center infrastructure will offer a series of education, training, and workforce development opportunities in data analytics and informatics approaches customized to material and biofilm sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

附着在表面的微生物，通常被称为生物膜，在城市水、海洋、制造、石油和天然气部门以及其他一系列工程和医疗应用中，代表着数百万美元的挑战和机遇。在细胞层面上对生物膜的研究和在原子层面上对材料的研究产生了极其大量的丰富数据。为了挖掘这些数据并在生物膜生长和材料特性之间建立联系，这个以研究基础设施改善Track-2为重点的EPSCoR协作(RII Track-2 FEC)奖将在南达科他州矿业与技术学院、蒙大拿州立大学、内布拉斯加-奥马哈大学和南达科他州大学之间建立一个新的合作伙伴关系，以开发大数据分析工具。该团队将开发生物膜数据和信息发现系统(Biofilm-DIDs)，利用人工智能收集和组合这些大型数据集，以分析和预测受表面特性影响的基因响应和生物膜特征。通过实现这一目标，该团队打算迅速加快发现新材料的步伐，以控制和利用生物膜的生长。该项目将为不同的初级教师和博士后研究人员以及研究生、本科生和高中教师和学生提供教育、培训和劳动力发展机会。该项目的主要目标是开发大数据分析工具，以了解用新兴的单原子厚度、二维(2D)材料修饰的技术相关材料上的生物膜中的生命规律。这将通过开发生物工程创新数据驱动材料发现(DDMD)中心来实现，该中心将整合南达科他州矿业与技术学院、蒙大拿州州立大学、内布拉斯加州大学-奥马哈大学和南达科他州大学在生物科学、计算机科学和材料科学方面的不同基础设施，以开发独特的Biofilm-DID系统。DDMD中心将专注于开发新的跨学科方法和数据分析，以跟踪2D材料上的生物膜表型，并结合硫酸盐还原生物膜表型的组学分析，以发现受原子尺度材料表面特征支配的生物膜组装和组织规律。S的研究领域将包括：大数据挖掘、机器学习和预测建模；用于生物应用的2D材料；以及生物膜的组成和多样性。生物膜-DIDs将被开发、校准和验证，以提供一个科学平台来询问响应纳米级特性的生物机制。这一平台将被用来理解涂层中的基质晶体取向和点缺陷如何影响基因表达、信号通路、代谢物和控制生物膜抗逆性、细胞外电子传递和生物腐蚀机制的结构形成。DDMD中心基础设施将提供一系列针对材料和生物膜科学定制的数据分析和信息学方法方面的教育、培训和劳动力发展机会。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。