Abstract

Metabolism is the set of biochemical reactionsoccurring in living organisms. Metabolites are usually smallmolecules like glucose, amino acids etc. These biochemicalinter-conversions are generally catalyzed by enzymes. Thesequencing of genomes and development of functional genomicsmake it now possible to reconstruct and understand thestructure and function of metabolic networks at large scale.New computational tools and biological concepts are beingdeveloped to understand these metabolic networks moreprecisely. Here attempts were made for reconstruction,visualization, and graph representation of metabolic networksfor structural analysis i.e. connectivity and centrality analyses,modularity and decomposition of the networks to fundamentallevel. Reconstruction, visualization, and graphicalrepresentation of glycolysis for structural analysis anddecomposition of the network to fundamental is done as anexample of basic metabolic network in cells. The methods andconcepts presented deals with static properties and functions ofglycolysis and more complex networks can be representedfollowing similar methods.