Our paper reviews some key concepts in chemical reaction network theory and mathematical epidemiology, and examines their intersection, with three goals. The first is to …
This work introduces a new method for comparing two reaction networks of the same or closely related systems through their embedded networks in terms of the shared set of …
BS Hernandez, KDE Buendicho - Journal of Mathematical Chemistry, 2023 - Springer
Steady states are typically used to describe the long-term behaviors of chemical reaction networks (CRNs). In 2019, Johnston et al. developed a method of parametrizing positive …
Wnt signaling is a vital biological mechanism that regulates crucial development processes and maintenance of tissue homeostasis. Here, we extended the parameter-free analysis of …
DA Talabis, E Mendoza - Journal of Mathematical Biology, 2024 - Springer
A dynamical system obtains a wide variety of kinetic realizations, which is advantageous for the analysis of biochemical systems. A reaction network, derived from a dynamical system …
PVN Lubenia, ER Mendoza, AR Lao - arXiv preprint arXiv:2405.10486, 2024 - arxiv.org
Understanding the insulin signaling cascade provides insights on the underlying mechanisms of biological phenomena such as insulin resistance, diabetes, Alzheimer's …
C Xu - arXiv preprint arXiv:2409.05340, 2024 - arxiv.org
Reaction networks have been widely used as generic models in diverse areas of applied science, such as biology, chemistry, ecology, epidemiology, and computer science …
BS Hernandez, PVN Lubenia, MD Johnston, JK Kim - bioRxiv, 2022 - biorxiv.org
The long-term behaviors of biochemical systems are described by their steady states. Deriving these states directly for complex networks arising from real-world applications …
Steady states are frequently used to investigate the long-term behaviors of (bio)-chemical systems. Recently, there has been a growing interest in network-based approaches due to …