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A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks

Overview of attention for article published in BMC Bioinformatics, January 2006
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Citations

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66 Mendeley
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Title
A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks
Published in
BMC Bioinformatics, January 2006
DOI 10.1186/1471-2105-7-34
Pubmed ID
Authors

Holger Conzelmann, Julio Saez-Rodriguez, Thomas Sauter, Boris N Kholodenko, Ernst D Gilles

Abstract

Receptors and scaffold proteins possess a number of distinct domains and bind multiple partners. A common problem in modeling signaling systems arises from a combinatorial explosion of different states generated by feasible molecular species. The number of possible species grows exponentially with the number of different docking sites and can easily reach several millions. Models accounting for this combinatorial variety become impractical for many applications.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Germany 1 2%
Singapore 1 2%
Unknown 63 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 27%
Researcher 17 26%
Professor 6 9%
Student > Master 6 9%
Professor > Associate Professor 4 6%
Other 11 17%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 47%
Computer Science 6 9%
Physics and Astronomy 5 8%
Biochemistry, Genetics and Molecular Biology 5 8%
Medicine and Dentistry 3 5%
Other 8 12%
Unknown 8 12%