Department of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.
Methods Mol Biol. 2023;2690:469-479. doi: 10.1007/978-1-0716-3327-4_36.
A cell's various components interact with each other in a coordinated manner to respond to environmental cues and intracellular signals. Compared to the other biological networks, the protein-protein interaction (PPI) is mostly responsible for maintaining signaling pathways. Increasing numbers of experimentally verified and predicted PPIs in plants demand a scalable platform to deal with large and complex datasets. Network/graph data can be organized and analyzed using different tools. This chapter uses Neo4j, a graph database management system, to store and analyze plant PPI networks. To make the graph database and analyze network centrality, we used Arabidopsis interactome-1 main (AI-1) PPI network.
细胞的各种组成部分以协调的方式相互作用，以响应环境线索和细胞内信号。与其他生物网络相比，蛋白质-蛋白质相互作用（PPI）在很大程度上负责维持信号通路。植物中越来越多的经过实验验证和预测的 PPI 需要一个可扩展的平台来处理大型和复杂的数据集。网络/图形数据可以使用不同的工具进行组织和分析。本章使用图数据库管理系统 Neo4j 来存储和分析植物 PPI 网络。为了构建图数据库和分析网络中心性，我们使用了拟南芥互作组-1 主（AI-1）PPI 网络。
