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PPIM: A Protein-Protein Interaction Database for Maize
Guanghui Zhu1, Aibo Wu1, Xin-Jian Xu1
1Department 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.).
Abstract:
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.
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