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Visual set-up of logical models of signaling and regulatory networks with ProMoT

MPS-Authors
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Saez-Rodriguez,  J.
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86203

Mirschel,  S.
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86180

Hemenway,  R.
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86189

Klamt,  S.
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86172

Gilles,  E. D.
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons127401

Ginkel,  Martin
Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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eDoc_292870_2006.pdf
(Publisher version), 476KB

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Citation

Saez-Rodriguez, J., Mirschel, S., Hemenway, R., Klamt, S., Gilles, E. D., & Ginkel, M. (2006). Visual set-up of logical models of signaling and regulatory networks with ProMoT. BMC Bioinformatics, 7: 506. doi:10.1186/1471-2105-7-506.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-9B11-A
Abstract
Background: The analysis of biochemical networks using a logical (Boolean) description is an important approach in Systems Biology. Recently, new methods have been proposed to analyze large signaling and regulatory networks using this formalism. Even though there is a large number of tools to set up models describing biological networks using a biochemical (kinetic) formalism, however, they do not support logical models. Results: Herein we present a flexible framework for setting up large logical models in a visual manner with the software tool ProMoT. An easily extendible library, ProMoT's inherent modularity and object-oriented concept as well as adaptive visualization techniques provide a versatile environment. Both the graphical and the textual description of the logical model can be exported to different formats. Conclusion: New features of ProMoT facilitate an efficient set-up of large Boolean models of biochemical interaction networks. The modeling environment is flexible; it can easily be adapted to specific requirements, and new extensions can be introduced. ProMoT is freely available from http://www.mpi-magdeburg.mpg.de/projects/promot/.