Dynamic modelling of biological systems, a field at the intersection of biology and computer science, aims to understand the behavior of living organisms through mathematical and computational models. By capturing the intricate dynamics of biological processes, dynamic models provide insights into how organisms respond to internal and external stimuli, how diseases progress, and how interventions can be designed to restore health. In this manuscript, we explore the role of computer science in advancing dynamic modelling techniques for biological systems. From the development of mathematical models to the simulation of complex biological networks, computer science provides the tools and methodologies to analyze and interpret dynamic behavior in living systems. By integrating insights from computer science with biological knowledge, researchers can uncover fundamental principles governing the dynamics of life, paving the way for new discoveries and applications in biomedicine, synthetic biology, and beyond.
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Journal of Computer Science & Systems Biology received 2279 citations as per Google Scholar report
