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Molecular Networks and Complex Diseases

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Functional Coherence of Molecular Networks in Bioinformatics

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Abstract

Many human diseases are based on a set of complex interactions among multiple genetic and environmental factors. Recent developments in biotechnology have enabled interrogation of the cell at various levels leading to many types of “omic” data that provide valuable information on these factors and their interactions. These data include (1) genomic data, which reveals possible genetic factors involved in disease, (2) transcriptomic data, which reveals changes in regulation of gene expression, and (3) proteomic data, which reveals irregularities in the amount of functional proteins in affected tissues. While these data are very useful in understanding differences between disease phenotypes, they provide information at the level of a single molecular type. To integrate these disparate data types, molecular network analysis is invaluable in uncovering the relations between disparate molecular targets and understanding disease development and progression at the systems level. This chapter provides an overview of current findings on the systems biology of human diseases in the context of molecular networks and outlines current computational approaches in network biology of human diseases.

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Acknowledgements

This work was supported by National Science Foundation CAREER Award CCF-0953195, and National Institutes of Health Grant UL1-RR024989 from the National Center for Research Resources (Clinical and Translational Science Awards).

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Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Case Western Reserve University, 10900 Euclid Ave., Cleveland, OH, 44106, USA

    Mehmet Koyutürk

  2. Case Western Reserve University, Cleveland, OH, 44106-3808, USA

    Sinan Erten, Rod K. Nibbe & Mark R. Chance

  3. Carnegie-Mellon University, Pittsburgh, PA, 15213, USA

    Salim A. Chowdhury

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Correspondence to Mehmet Koyutürk .

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Editors and Affiliations

  1. Department of Electrical Engineering & C, Case Western Reserve University, Euclid Ave. 10900, Cleveland, 44106, Ohio, USA

    Mehmet Koyutürk

  2. Department of Bioengineering, University of California, San Diego, 9500 Gilman Dr., La Jolla, 92093-0412, California, USA

    Shankar Subramaniam

  3. Department of Computer Science, Purdue University, 305 North University Street, West Lafayette, 47907-2107, Indiana, USA

    Ananth Grama

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Koyutürk, M., Erten, S., Chowdhury, S.A., Nibbe, R.K., Chance, M.R. (2012). Molecular Networks and Complex Diseases. In: Koyutürk, M., Subramaniam, S., Grama, A. (eds) Functional Coherence of Molecular Networks in Bioinformatics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0320-3_7

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