MIMTool

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A Tool for Drawing Molecular Interaction Maps

Mine Edes
Can Özturan
Türkan Haliloğlu
Augustin Luna
Ruth Nussinov

 

Background: To understand protein function, it is important to study protein- protein interaction networks. These networks can be represented in network diagrams called protein interaction maps that can lead to better understanding by visualization. We address the problem of drawing of protein interactions in Kohn's Molecular Interaction Map (MIM) notation. Even though there are some existing tools for graphical visualization of protein interactions in general, there is no tool that can draw protein interactions with MIM notation with full support. Results: MIMTool was developed for drawing protein interaction maps in Kohn's MIM notation. MIMTool was developed using the Qt toolkit libraries and introduces several unique features such as full interactivity, object dragging, ability to export files in MIMML, SBML and line drawing with automatic bending and crossover minimization, which are not available in other diagram editors. MIMTool also has a unique orthogonal edge drawing method that is both easy and more flexible than other orthogonal drawing methods present in other interaction drawing tools. Conclusions: MIMTool facilitates faster drawing, updating and exchanging of MIMs. Among its several features, it also includes a semi-automatic drawing algorithm that makes use of shortest path algorithm for constructing lines with small number of bends and crossings. MIMTool contributes a much needed software tool that was missing and will facilitate wider adoption of Kohn's MIM notation.

Release Date:
April, 2011
Status:
Availability:
Data type:
Techniques:
2D, Network / hierarchy graph
Software:
Installed
Technology:
C++
Platform:
Linux, Windows
Requirements:
Windows, Unix

Project development

Institution: Bogazici University, Istanbul; Boston University, Boston; National Lab for Cancer Research, National Cancer Inst., NIH, Frederick

This work was supported by the Scientific and  Technological Research Council of Turkey (TUBITAK) under the grant number 107T382 and in part with Federal funds from the National Cancer Institute, National Institutes of Health, under contract number HHSN261200800001E. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government. It was also supported in part by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research.