School of Life Sciences, and Hubei Key Laboratory of Genetic Regulation and Integrative Biology, Central China Normal University, Wuhan 430079, Hubei, People's Republic of China.
School of Computer, and Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, Hubei, People's Republic of China.
Plant Physiol. 2023 Mar 17;191(3):1535-1545. doi: 10.1093/plphys/kiac594.
As one of the essential life forms in the biosphere, research on cyanobacteria has been growing remarkably for decades. Biological functions in organisms are often accomplished through protein-protein interactions (PPIs), which help to regulate interacting proteins or organize them into an integral machine. However, the study of PPIs in cyanobacteria falls far behind that in mammals and has not been integrated for ease of use. Thus, we built CyanoMapDB (http://www.cyanomapdb.msbio.pro/), a database providing cyanobacterial PPIs with experimental evidence, consisting of 52,304 PPIs among 6,789 proteins from 23 cyanobacterial species. We collected available data in UniProt, STRING, and IntAct, and mined numerous PPIs from co-fractionation MS data in cyanobacteria. The integrated data are accessible in CyanoMapDB (http://www.cyanomapdb.msbio.pro/), enabling users to easily query proteins of interest, investigate interacting proteins with evidence from different sources, and acquire a visual network of the target protein. We believe that CyanoMapDB will promote research involved with cyanobacteria and plants.
作为生物圈中重要的生命形式之一，几十年来，对蓝藻的研究显著增长。生物体中的生物功能通常是通过蛋白质-蛋白质相互作用（PPIs）来完成的，这有助于调节相互作用的蛋白质或将它们组织成一个整体机器。然而，蓝藻中的 PPI 研究远远落后于哺乳动物，并且尚未集成以供使用。因此，我们构建了 CyanoMapDB（http://www.cyanomapdb.msbio.pro/），这是一个提供具有实验证据的蓝藻 PPI 的数据库，包含来自 23 种蓝藻物种的 6789 种蛋白质中的 52304 种 PPI。我们从 UniProt、STRING 和 IntAct 中收集了可用数据，并从蓝藻的共馏分 MS 数据中挖掘了大量 PPI。综合数据可在 CyanoMapDB（http://www.cyanomapdb.msbio.pro/）中获得，使用户能够轻松查询感兴趣的蛋白质，根据来自不同来源的证据研究相互作用的蛋白质，并获取目标蛋白质的可视化网络。我们相信 CyanoMapDB 将促进涉及蓝藻和植物的研究。
