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Discovery: Computational Systems Biology (CSB) in Health and Disease I

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Systems Biology in Biotech & Pharma

Part of the book series: SpringerBriefs in Pharmaceutical Science & Drug Development ((BRIEFSPSDD,volume 2))

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Abstract

To date, few cellular and gene networks have been reconstructed and analyzed in full. Examples include some prokaryotes and few eukaryotes for cellular networks. The methods currently used to analyze single database genomic sets are usually mature and refined. Network reconstruction is also enabled by analysing the molecular connectivity of a system by using correlation analysis. Additionally, monitoring the dynamics of the system and measuring the system’s responses to perturbations such as drug administration or challenge tests can yield insights into the dynamics of the system. Microbial cells are fairly well characterized, but the status of similar efforts for mammalian cells is rather poor. While emergence can be conveniently studied via computational tools, the phenomenon of emergence is the single most important benefit of CSB.

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Authors and Affiliations

  1. Chemical and Biomolecular Engineering, Vanderbilt University, VU Station B 351604, Nashville, TN, 37235, USA

    Aleš Prokop

  2. NanoDelivery International, s.r.o., 1327/113 Nádražní, 69141, Břeclav-Poštorná, Czech Republic

    Aleš Prokop

  3. Genomic Health Inc, 101 Galveston Dr, Redwood City, CA, 94063, USA

    Seth Michelson

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Prokop, A., Michelson, S. (2012). Discovery: Computational Systems Biology (CSB) in Health and Disease I. In: Systems Biology in Biotech & Pharma. SpringerBriefs in Pharmaceutical Science & Drug Development, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2849-3_5

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  • DOI: https://doi.org/10.1007/978-94-007-2849-3_5

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