Metabolic network structure determines key aspects of functionality and regulation

Nature ◽  
2002 ◽  
Vol 420 (6912) ◽  
pp. 190-193 ◽  
Author(s):  
Jörg Stelling ◽  
Steffen Klamt ◽  
Katja Bettenbrock ◽  
Stefan Schuster ◽  
Ernst Dieter Gilles
2007 ◽  
Vol 8 (8) ◽  
pp. 407 ◽  
Author(s):  
Chenqi Lu ◽  
Ze Zhang ◽  
Lindsey Leach ◽  
MJ Kearsey ◽  
ZW Luo

Nanoscale ◽  
2021 ◽  
Author(s):  
Bernabé Ortega-Tenezaca ◽  
Humberto González-Díaz

Machine learning mapping of antibacterial nanoparticles vs. bacteria metabolic network structure.


2015 ◽  
Vol 15 (02) ◽  
pp. 1540026
Author(s):  
GABRIELE FONTANAROSA ◽  
GIULIA MENICHETTI ◽  
ENRICO GIAMPIERI ◽  
GASTONE CASTELLANI ◽  
GIOVANNI MARTINELLI ◽  
...  

We describe a novel approach for metabolic network reconstruction in order to switch from the full reaction-metabolite scheme to a more synthetic description at a pathway level. The network thus obtained retains much information of the original model, allowing easier graphical visualizations and multiscale modeling. We apply our approach to the state-of-the-art database of human metabolic network (Recon2): our approach allows different ranking of the network elements based on its topology and on Markov dynamics induced by network structure.


PLoS ONE ◽  
2013 ◽  
Vol 8 (1) ◽  
pp. e54403 ◽  
Author(s):  
Dana A. Opulente ◽  
Christopher M. Morales ◽  
Lucas B. Carey ◽  
Joshua S. Rest

2018 ◽  
Vol 10 (10) ◽  
pp. 3785 ◽  
Author(s):  
Jaana Korhonen ◽  
Alexandru Giurca ◽  
Maria Brockhaus ◽  
Anne Toppinen

To foster innovativeness for supporting (forest-based) bioeconomy development, participation in decision-making and interaction between diverse actors become a necessary precondition for designing and implementing transition policies. However, who forms the emerging policy networks, and which policy beliefs are promoted? Based on data from a national online survey, we performed a quantitative social network analysis to investigate emerging social structures and policy beliefs in the context of the Finnish forest-based bioeconomy. Our explorative analysis shows that research, governmental, and industrial organizations mainly constitute the Finnish forest-based bioeconomy network. Actors primarily exchange information, and most key organizations report high levels of trust among each other. However, the network structure is rather closed. This raises concerns about equal benefit sharing and the inclusiveness of concerned actors. We discuss the implication of this network structure for enabling new innovations. Finally, we present the key aspects and drivers of “business as usual”, and suggest an option for or a more transformative change in the Finnish forest-based bioeconomy.


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