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metabolic networks

Saturday 8 October 2016

metabolic network

Understanding the control of large-scale metabolic networks is central to biology and medicine.

Authors introduce new coupling types describing the relations between reaction activities, and develop an efficient computational framework, which does not require any cellular objective for systematic studies of large-scale metabolism.

They identify the driver reactions facilitating control of 23 metabolic networks from all kingdoms of life. They find that unicellular organisms require a smaller degree of control than multicellular organisms.

Driver reactions are under complex cellular regulation in Escherichia coli, indicating their preeminent role in facilitating cellular control.

In human cancer cells, driver reactions play pivotal roles in malignancy and represent potential therapeutic targets.

The developed framework helps gain insights into regulatory principles of diseases and facilitates design of engineering strategies at the interface of gene regulation, signaling, and metabolism.

References

- Control of fluxes in metabolic networks.
Basler G, Nikoloski Z, Larhlimi A, Barabási AL, Liu YY.
Genome Res. 2016 Jul;26(7):956-68. doi : 10.1101/gr.202648.115. Epub 2016 May 19
PMID: 27197218