Interactions of genes and gene products as well as cross-talks between individual pathways make up complex networks that preclude an intuitive understanding. Along with the increase in knowledge on genetic interactions, mathematical modeling and simulation have become indispensible tools for the analysis of regulatory networks.
Modeling approaches vary in the degree of abstraction, which influences the level of detail, but also comprehensibility and the amount of information required to specify the model parameters. Our research covers the highly abstract Boolean models as well as comprehensive models based on differential equations.
Our paper "Unraveling the Molecular Tumor-Promoting Regulation of Cofilin-1 in Pancreatic Cancer" has been published in MDPI Cancers.
Our paper "Implementing FAIR data management within the German Network for Bioinformatics Infrastructure (de.NBI) exemplified by selected use cases" has been published online first in Briefings in Bioinformatics.