Special Issue: Dynamical systems to understand biological dynamics
Prof. Frithjof Lutscher
Department of Mathematics and Statistics, University of Ottawa, Canada
Prof. M Fotouhi
Department of Mathematical Sciences, Sharif University of Technology, Tehran, Iran
Prof. Arezou Rezaei
School of Biology, Damghan University, Iran
From the subcellular to the ecosystem level, biological systems display a stunning array of dynamical properties. The more we learn, through biological and biomedical experimental sciences, about how finely tuned and delicately evolved many natural phenomena are, the more we aim to understand the mechanisms behind the patterns that we observe. A deeper understanding can help us protect ecosystems, curb the spread of infectious diseases, and improve medical treatment of disease.
Mathematical models are at the core of many of our efforts to understand nature in general and biological dynamics in particular. Dynamical systems models in particular can help us explore possible mechanisms, thereby act as virtual laboratories of low cost and low risk. At the same time, novel biological challenges lead to novel mathematical models, which, in turn, generate new mathematical challenges and drive some exciting progress.
The goal of this special issue is to showcase the multiple interactions and mutual benefits between dynamical systems theory, understood as broadly as possible, and biological dynamics on all organizational levels. We invite high-quality submissions of manuscripts that highlight the fruitful interplay between mathematical and computational tools and biological insights into a broad array of fields, including but not limited to biology, medicine, environmental science, biotechnology, and bioengineering.
Instructions for authors
Please submit your manuscript to online submission system