Mathematical modeling of biological processes provides deep insights into complex cellular
systems. While quantitative and continuous models such as differential equations have been …

Triple-negative breast cancers (TNBC), characterized by absence of estrogen receptor (ER),
progesterone receptor (PR) and lack of overexpression of human epidermal growth factor …

Cellular signal transduction is a complex process involving protein-protein interactions
(PPIs) that transmit information. For example, signals from the plasma membrane may be …

Cancer is now appreciated as not only a highly heterogenous pathology with respect to cell
type and tissue origin but also as a disease involving dysregulation of multiple pathways …

Computational models are increasingly used to analyze the operation of complex
biochemical networks, including those involved in cell signaling networks. Here we review …

Large‐scale protein signalling networks are useful for exploring complex biochemical
pathways but do not reveal how pathways respond to specific stimuli. Such specificity is …

The Mitogen-Activated Protein Kinase (MAPK) network consists of tightly interconnected
signalling pathways involved in diverse cellular processes, such as cell cycle, survival …

Background Qualitative frameworks, especially those based on the logical discrete
formalism, are increasingly used to model regulatory and signalling networks. A major …

The biomolecules inside or near cells form a complex interacting system. Cellular
phenotypes and behaviors arise from the totality of interactions among the components of …

Polypharmacology has emerged as novel means in drug discovery for improving treatment
response in clinical use. However, to really capitalize on the polypharmacological effects of …