Zhu Guanghui, Wu Aibo, Xu Xin-Jian, Xiao Pei-Pei, Lu Le, Liu Jingdong, Cao Yongwei, Chen Luonan, Wu Jun, Zhao Xing-Ming
Department of Computer Science and Technology, Tongji University, Shanghai 201804, China (G.Z., P.-P.X., J.W., X.-M.Z.);Key Laboratory of Food Safety Research, Institute for Nutritional Sciences (A.W.), and Key Laboratory of Systems Biology (L.C.), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;Department of Mathematics, Shanghai University, Shanghai 200444, China (X.-J.X.); andMonsanto Company, St. Louis, Missouri 63167 (L.L., J.L., Y.C.).
Department of Computer Science and Technology, Tongji University, Shanghai 201804, China (G.Z., P.-P.X., J.W., X.-M.Z.);Key Laboratory of Food Safety Research, Institute for Nutritional Sciences (A.W.), and Key Laboratory of Systems Biology (L.C.), Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China;Department of Mathematics, Shanghai University, Shanghai 200444, China (X.-J.X.); andMonsanto Company, St. Louis, Missouri 63167 (L.L., J.L., Y.C.)
Plant Physiol. 2016 Feb;170(2):618-26. doi: 10.1104/pp.15.01821. Epub 2015 Nov 30.
Maize (Zea mays) is one of the most important crops worldwide. To understand the biological processes underlying various traits of the crop (e.g. yield and response to stress), a detailed protein-protein interaction (PPI) network is highly demanded. Unfortunately, there are very few such PPIs available in the literature. Therefore, in this work, we present the Protein-Protein Interaction Database for Maize (PPIM), which covers 2,762,560 interactions among 14,000 proteins. The PPIM contains not only accurately predicted PPIs but also those molecular interactions collected from the literature. The database is freely available at http://comp-sysbio.org/ppim with a user-friendly powerful interface. We believe that the PPIM resource can help biologists better understand the maize crop.
玉米（Zea mays）是全球最重要的作物之一。为了理解该作物各种性状（如产量和对胁迫的反应）背后的生物学过程，对详细的蛋白质-蛋白质相互作用（PPI）网络有很高的需求。不幸的是，文献中可用的此类PPI非常少。因此，在这项工作中，我们展示了玉米蛋白质-蛋白质相互作用数据库（PPIM），它涵盖了14000种蛋白质之间的2762560种相互作用。PPIM不仅包含准确预测的PPI，还包含从文献中收集的那些分子相互作用。该数据库可通过http://comp-sysbio.org/ppim免费获取，具有用户友好的强大界面。我们相信PPIM资源可以帮助生物学家更好地了解玉米作物。
