Using fuzzy measures to group cycles in metabolic networks

Abstract

This paper describes part of a modeling tool, called FCModeler, for exploring metabolic networks that displays and finds structural relationships in graphs. Nodes of the map represent specific biochemicals such as proteins, RNA, and small molecules, or stimuli, such as light, heat, or nutrients. Edges of the map capture regulatory and metabolic relationships found in biological systems. These relationships are established by domain experts and the biological literature. Automated cycle analysis finds sets of connected nodes in a metabolic network. Families of interconnected cycles show how metabolic cycles interact with one another. These cycle families are formed using fuzzy measure theory.