Inferring catalysis in biological systems

Kondofersky I, Theis FJ, Fuchs C (2016)
IET Systems Biology 10(6): 210-218.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Kondofersky, Ivan; Theis, Fabian J.; Fuchs, ChristianeUniBi
Abstract / Bemerkung
In systems biology, one is often interested in the communication patterns between several species, such as genes, enzymes or proteins. These patterns become more recognisable when temporal experiments are performed. This temporal communication can be structured by reaction networks such as gene regulatory networks or signalling pathways. Mathematical modelling of data arising from such networks can reveal important details, thus helping to understand the studied system. In many cases, however, corresponding models still deviate from the observed data. This may be due to unknown but present catalytic reactions. From a modelling perspective, the question of whether a certain reaction is catalysed leads to a large increase of model candidates. For large networks the calibration of all possible models becomes computationally infeasible. We propose a method which determines a substantially reduced set of appropriate model candidates and identifies the catalyst of each reaction at the same time. This is incorporated in a multiple-step procedure which first extends the network by additional latent variables and subsequently identifies catalyst candidates using similarity analysis methods. Results from synthetic data examples suggest a good performance even for non-informative data with few observations. Applied on CD95 apoptotic pathway our method provides new insights into apoptosis regulation.
Erscheinungsjahr
2016
Zeitschriftentitel
IET Systems Biology
Band
10
Ausgabe
6
Seite(n)
210-218
ISSN
1751-8849
eISSN
1751-8857
Page URI
https://pub.uni-bielefeld.de/record/2934017

Zitieren

Kondofersky I, Theis FJ, Fuchs C. Inferring catalysis in biological systems. IET Systems Biology. 2016;10(6):210-218.
Kondofersky, I., Theis, F. J., & Fuchs, C. (2016). Inferring catalysis in biological systems. IET Systems Biology, 10(6), 210-218. doi:10.1049/iet-syb.2015.0087
Kondofersky, Ivan, Theis, Fabian J., and Fuchs, Christiane. 2016. “Inferring catalysis in biological systems”. IET Systems Biology 10 (6): 210-218.
Kondofersky, I., Theis, F. J., and Fuchs, C. (2016). Inferring catalysis in biological systems. IET Systems Biology 10, 210-218.
Kondofersky, I., Theis, F.J., & Fuchs, C., 2016. Inferring catalysis in biological systems. IET Systems Biology, 10(6), p 210-218.
I. Kondofersky, F.J. Theis, and C. Fuchs, “Inferring catalysis in biological systems”, IET Systems Biology, vol. 10, 2016, pp. 210-218.
Kondofersky, I., Theis, F.J., Fuchs, C.: Inferring catalysis in biological systems. IET Systems Biology. 10, 210-218 (2016).
Kondofersky, Ivan, Theis, Fabian J., and Fuchs, Christiane. “Inferring catalysis in biological systems”. IET Systems Biology 10.6 (2016): 210-218.

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