| URL: | http://comp-sysbio.org/ppim |
| Full name: | A protein-protein interaction database for Maize |
| Description: | The PPIM (protein-protein interaction database for Maize) database is a free and comprehensive knowledgebase for academic use in Zea mays community. It 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. PPIM resource can help biologists better understand the maize crop. |
| Year founded: | 2016 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Shanghai University |
| Address: | Chinese Academy of Sciences, Shanghai 200031, China;Department of Mathematics, Shanghai University, Shanghai 200444, China |
| City: | Shanghai |
| Province/State: | Shanghai |
| Country/Region: | China |
| Contact name (PI/Team): | Xing-Ming Zhao |
| Contact email (PI/Helpdesk): | xm_zhao@tongji.edu.cn |
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PPIM: A Protein-Protein Interaction Database for Maize. [PMID: 26620522]
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. |