Model Integration and Crosstalk Analysis of Logical Regulatory Networks

Kirsten Thobe1,2, Adam Streck1, Hannes Klarner1, and Heike Siebert1,2

1 - Freie Universität Berlin, Berlin, Germany
2 - International Max Planck Research School for Computational Biology and Scientific Computing, Max Planck Institute for Molecular Genetics, Berlin, Germany

Abstract

Methods for model integration have become increasingly popular for understanding of the interplay between biological processes. In this work, we introduce an approach for coupling models taking uncertainties concerning the crosstalk into account. Using constraint-based modeling and formal verification techniques, a pool of possible integrated models is generated in agreement with previously validated behavior of the isolated models as well as additional experimental observations. Correlation- and causality-based analysis allows us to uncover the importance of particular crosstalk connections for specific functionalities leading to new biological insights and starting points for experimental design. We illustrate our approach studying crosstalk between the MAPK and mTor signaling pathways.

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