2011Unpublished venueRequires access

Functional modules and bottlenecks in human metabolic network core

Xudong Liu, Chengwei Wu, Dewu Ding

Open publisher page 1 citations

Abstract

The objective of this paper was to study human metabolic network core by structural and functional analysis. Firstly, we edited the human metabolic network core derived from a high-quality human metabolic network model and studied its general global structural properties (degree distribution, average path length, etc.). The human metabolic network core is a “scale-free” and “small-world” network. Then, we studied modules in human metabolic network core based on simulated annealing algorithm. The functional significance of these modules for metabolism was investigated by comparing them to KEGG metabolic pathways. Finally, we studied central metabolites in human metabolic network core by multi-centrality measures and discussed their biological implications and pharmacological insight.

About this research paper

What this paper is about

The objective of this paper was to study human metabolic network core by structural and functional analysis. Firstly, we edited the human metabolic network core derived from a high-quality human metabolic network model and studied its general global structural properties (degree distribution, average path length, etc.). The human metabolic network core is a “scale-free” and “small-world” network. Then, we studied modules in human metabolic network core based on simulated annealing algorithm. The functional significance of these modules for metabolism was investigated by comparing them to KEGG metabolic pathways. Finally, we studied central metabolites in human metabolic network core by multi-centrality measures and discussed their biological implications and pharmacological insight.

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Available abstract

The objective of this paper was to study human metabolic network core by structural and functional analysis. Firstly, we edited the human metabolic network core derived from a high-quality human metabolic network model and studied its general global structural properties (degree distribution, average path length, etc.). The human metabolic network core is a “scale-free” and “small-world” network. Then, we studied modules in human metabolic network core based on simulated annealing algorithm. The functional significance of these modules for metabolism was investigated by comparing them to KEGG metabolic pathways. Finally, we studied central metabolites in human metabolic network core by multi-centrality measures and discussed their biological implications and pharmacological insight.

Key concepts: Metabolic network, Centrality, Metabolic pathway, Core (optical fiber), Computer science, KEGG, Computational biology, Biology

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