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

附着在表面上的微生物，通常被称为生物膜，在市政供水、海洋、制造业、石油和天然气部门以及一系列其他工程和医疗应用中代表着数百万美元的挑战和机遇。在细胞水平上对生物膜的研究和在原子水平上对材料的研究产生了极其大量丰富的数据。为了挖掘这些数据并建立生物膜生长和材料特性之间的联系，这项研究基础设施改进轨道2重点EPSCoR合作（RII轨道2 FEC）奖将在南达科他州矿业与技术学院、蒙大拿州立大学、内布拉斯加大学奥马哈分校和南达科他州大学之间形成新的合作，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，分析和预测基因反应和受表面特性影响的生物膜特征。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。该项目将为各种各样的初级教师和博士后研究人员以及研究生、本科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，以了解生物膜中的生命规律，这些生物膜是用新兴的单原子厚度二维（2D）材料修饰的技术相关材料。这将通过发展数据驱动材料发现（DDMD）生物工程创新中心来实现，该中心将整合来自南达科他州矿业与技术学院、蒙大拿州立大学、内布拉斯加大学奥马哈分校和南达科他州大学的生物科学、计算机科学和材料科学的各种基础设施，以开发独特的生物膜- did系统。DDMD中心将专注于开发新的跨学科方法和数据分析，以跟踪二维材料上的生物膜表型，再加上硫酸盐还原生物膜表型的组学分析，以发现由原子尺度材料表面特征控制的生物膜组装和组织规则。DDMD中心？研究领域将包括：大数据挖掘、机器学习和预测建模；生物应用的二维材料；以及生物膜的组成和多样性。生物膜did将被开发、校准和验证，为研究响应纳米级特性的生物机制提供一个科学平台。该平台将用于了解涂层中的底物晶体取向和点缺陷如何影响基因表达、信号通路、代谢物和控制抗逆性的结构形成、细胞外电子转移和生物膜的生物腐蚀机制。DDMD中心的基础设施将为材料和生物膜科学定制数据分析和信息学方法，提供一系列教育、培训和劳动力发展机会。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.