Tarcea V Glenn, Weymouth Terry, Ade Alex, Bookvich Aaron, Gao Jing, Mahavisno Vasudeva, Wright Zach, Chapman Adriane, Jayapandian Magesh, Ozgür Arzucan, Tian Yuanyuan, Cavalcoli Jim, Mirel Barbara, Patel Jignesh, Radev Dragomir, Athey Brian, States David, Jagadish H V
Center for Computational Medicine and Biology, University of Michigan, Ann Arbor, MI 48109, USA.
Nucleic Acids Res. 2009 Jan;37(Database issue):D642-6. doi: 10.1093/nar/gkn722. Epub 2008 Oct 31.
Molecular interaction data exists in a number of repositories, each with its own data format, molecule identifier and information coverage. Michigan molecular interactions (MiMI) assists scientists searching through this profusion of molecular interaction data. The original release of MiMI gathered data from well-known protein interaction databases, and deep merged this information while keeping track of provenance. Based on the feedback received from users, MiMI has been completely redesigned. This article describes the resulting MiMI Release 2 (MiMIr2). New functionality includes extension from proteins to genes and to pathways; identification of highlighted sentences in source publications; seamless two-way linkage with Cytoscape; query facilities based on MeSH/GO terms and other concepts; approximate graph matching to find relevant pathways; support for querying in bulk; and a user focus-group driven interface design. MiMI is part of the NIH's; National Center for Integrative Biomedical Informatics (NCIBI) and is publicly available at: http://mimi.ncibi.org.
分子相互作用数据存在于多个数据库中，每个数据库都有自己的数据格式、分子标识符和信息覆盖范围。密歇根分子相互作用数据库（MiMI）帮助科学家在这大量的分子相互作用数据中进行搜索。MiMI的最初版本从知名的蛋白质相互作用数据库收集数据，并在跟踪出处的同时深度合并这些信息。根据用户反馈，MiMI进行了全面重新设计。本文介绍了由此产生的MiMI版本2（MiMIr2）。新功能包括从蛋白质扩展到基因和通路；识别源出版物中的突出句子；与Cytoscape的无缝双向链接；基于医学主题词表/基因本体论（MeSH/GO）术语和其他概念的查询工具；通过近似图匹配找到相关通路；支持批量查询；以及由用户焦点小组驱动的界面设计。MiMI是美国国立卫生研究院（NIH）国家综合生物医学信息中心（NCIBI）的一部分，可在以下网址公开获取：http://mimi.ncibi.org 。
