The 2019 Metabolic Pathways Analysis Conference

非技术描述该奖项将为参加2019年8月12日至16日在拉脱维亚里加举行的2019年代谢途径分析(MPA)的学生、博士后研究人员和早期职业研究人员提供支持。MPA 2019年大会的重点是分析代谢网络的拓扑结构-功能关系，以研究生物学及其生物技术应用的基础，主题涵盖跨越系统和合成生物学、代谢网络和数学算法的六个会议。会议还提供关于系统生物学建模工具和方法的会议前研讨会，并为早期研究人员提供与该领域高级研究人员互动的机会。技术描述网络建模和分析方法通过阐明和量化基因组、转录组、代谢组、蛋白质组和流变组数据所反映的表型，在该领域取得了进展。代谢途径分析(MPA)2019年会议将重点讨论代谢网络的拓扑分析，特别是利用线性代数、线性规划和计算机建模与实验数据相结合的技术，以破译组学数据集中的生物学原理。这些分析可以应用于许多抽象层面，从单个反应机制到整个生物体和混合细胞群体。MPA会议和一系列独特的会前教程为早期阶段的研究传播和教育提供了一个环境，并建立了研究人员与国际系统生物学研究社区互动的环境。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。

Nontechnical DescriptionThis award will provide support for students, postdoctoral researchers, and early career researchers to attend 2019 Metabolic Pathway Analysis (MPA) to be held August 12-16, 2019 in Riga, Latvia. The focus of the MPA 2019 conference is on analyzing topological structure-function relationships of metabolic networks to study fundamentals of biology and its biotechnological applications, with topics covered over including six sessions spanning systems and synthetic biology, metabolic networks, and mathematical algorithms. The conference also provides pre-conference workshops on tools and methods for systems biology modeling and provides opportunities for early stage investigators to interact with senior researchers in the field.Technical DescriptionNetwork modeling and analysis approaches are making advances in this field through elucidation and quantification of phenotypes reflected by genomic, transcriptomic, metabolomic, proteomic, and fluxomic data. The Metabolic Pathway Analysis (MPA) 2019 conference will focus on topological analyses of metabolic networks and in particular techniques utilizing linear algebra, linear programming and computer modeling in conjunction with experimental data to decode biological principles found in omics data sets. These analyses can be applied at many levels of abstraction, from individual reaction mechanisms to whole organisms and mixed cellular populations. The MPA conference and the unique series of pre-conference tutorials provide an environment for research dissemination and education for early stage and established investigators to interact with the international systems biology research community.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.