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Pathway Crosstalk Network

Chapter
Part of the Systems Biology book series (SYSTBIOL)

Abstract

Common diseases such as cancer, diabetes, obesity, and asthma are caused by defects in multiple genes and pathways. Thus, it is not surprising that the current one-target-one-compound approach in drug discovery and development has failed to deliver as many efficacious medicines as expected in the post-genomic era. Network biology offers new opportunities for pharmaceutical industry as it aims at understanding diseases by investigating disease mechanism at the network level. We proposed a novel way to study biological networks through pathway crosstalk. We developed a computational approach to systematically detect crosstalk among pathways based on protein interactions between pathway members. We built a global pathway crosstalk network that includes 580 pathways and covers 4,753 genes. This network exhibits the same characteristics as gene networks such as the scale-free property and clustering of functionally related network nodes. We further used this network to understand colorectal cancer progression to metastasis based on transcriptomic data.

Keywords

Pathway crosstalk Drug discovery Network analysis Micro array 

Notes

Acknowledgments

This work was supported by Computational Biology, Drug Discovery, and GlaxoSmithKline R&D. I thank Dilip Rajagopalan, Pankaj Agarwal, and Sihai D. Zhao for their contributions to the work (Li et al. 2008; Zhao and Li 2007) cited in this chapter.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Computational BiologyGlaxoSmithKline R&DKing of PrussiaUSA

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