Mathematical biology and pharmacology models have a long and rich history in the fields of
medicine and physiology, impacting our understanding of disease mechanisms and the …

Computational models are often employed in systems biology to study the dynamic
behaviours of complex systems. With the rise in the number of computational models, finding …

This paper presents a report on outcomes of the 10th Computational Modeling in Biology
Network (COMBINE) meeting that was held in Heidelberg, Germany, in July of 2019. The …

Computational modeling has well‐established utility in the study of cardiovascular
hemodynamics, with applications in medical research and, increasingly, in clinical settings …

Simulating complex biological and physiological systems and predicting their behaviours
under different conditions remains challenging. Breaking systems into smaller and more …

Motivation Annotations of biochemical models provide details of chemical species,
documentation of chemical reactions, and other essential information. Unfortunately, the vast …

A comprehensible representation of a molecular network is key to communicating and
understanding scientific results in systems biology. The Systems Biology Graphical Notation …

While scientific disciplines revere reproducibility, many studies–experimental and
computational alike–fall short of this ideal and cannot be reproduced or even repeated when …

We present a framework for the topological and semantic assembly of multiscale physiology
route maps. The framework, called ApiNATOMY, consists of a knowledge representation …

All digital objects that result from the modeling and simulation field are valid sets of research
data. In general, research data are the result of intense intellectual activity that is worth …