Receptor-mediated signal transduction pathways promote cellular homeostasis by sensing local environmental conditions, integrating this information, and determining the subsequent adaptations. Mutations within these pathways lead to diseases such as cancer, such that it is of biomedical importance to understand and predict their behaviours. Predicting their behaviour is challenging because of their complexity, which stems from the number of components and their interconnections into a network. In this talk, I will describe methods used to address this complexity, emphasizing different modeling algorithms and proteomics and imaging data, which are used to investigate signaling downstream of inflammation and physiological stressors.