naa a22 4500 510767346 CHVBK 20180411083201.0 cr unu---uuuuu 180411e20130201xx s 000 0 eng 10.1007/s12043-012-0470-7 doi (NATIONALLICENCE)springer-10.1007/s12043-012-0470-7 Complex network perspective on structure and function of Staphylococcus aureus metabolic network [Elektronische Daten] [L YING, D DING] With remarkable advances in reconstruction of genome-scale metabolic networks, uncovering complex network structure and function from these networks is becoming one of the most important topics in system biology. This work aims at studying the structure and function of Staphylococcus aureus (S. aureus) metabolic network by complex network methods. We first generated a metabolite graph from the recently reconstructed high-quality S. aureus metabolic network model. Then, based on ‘bow tie' structure character, we explain and discuss the global structure of S. aureus metabolic network. The functional significance, global structural properties, modularity and centrality analysis of giant strong component in S. aureus metabolic networks are studied. Indian Academy of Sciences, 2013 Centrality analysis nationallicence metabolic network nationallicence modularity analysis nationallicence systems biology nationallicence YING L. Education Department, National University of Defense Technology, 410073, Changsha, China aut DING D. Department of Mathematics and Computer Science, Chizhou College, 247000, Chizhou, China aut Pramana Springer-Verlag 80/2(2013-02-01), 337-348 0304-4289 80:2<337 2013 80 12043 https://doi.org/10.1007/s12043-012-0470-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12043-012-0470-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- YING L. Education Department, National University of Defense Technology, 410073, Changsha, China aut NATIONALLICENCE 700 1- DING D. Department of Mathematics and Computer Science, Chizhou College, 247000, Chizhou, China aut NATIONALLICENCE 773 0- Pramana Springer-Verlag 80/2(2013-02-01), 337-348 0304-4289 80:2<337 2013 80 12043 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer