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A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics

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Systems and Synthetic Biology

Abstract

Human physiology is an ensemble of various biological processes spanning from intracellular molecular interactions to the whole body phenotypic response. Systems biology endures to decipher these multi-scale biological networks and bridge the link between genotype to phenotype. The structure and dynamic properties of these networks are responsible for controlling and deciding the phenotypic state of a cell. Several cells and various tissues coordinate together to generate an organ level response which further regulates the ultimate physiological state. The overall network embeds a hierarchical regulatory structure, which when unusually perturbed can lead to undesirable physiological state termed as disease. Here, we treat a disease diagnosis problem analogous to a fault diagnosis problem in engineering systems. Accordingly we review the application of engineering methodologies to address human diseases from systems biological perspective. The review highlights potential networks and modeling approaches used for analyzing human diseases. The application of such analysis is illustrated in the case of cancer and diabetes. We put forth a concept of cell-to-human framework comprising of five modules (data mining, networking, modeling, experimental and validation) for addressing human physiology and diseases based on a paradigm of system level analysis. The review overtly emphasizes on the importance of multi-scale biological networks and subsequent modeling and analysis for drug target identification and designing efficient therapies.

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  1. Biosystems Engineering, Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, Maharashtra, India

    Pramod Rajaram Somvanshi & K. V. Venkatesh

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  1. Pramod Rajaram Somvanshi
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Somvanshi, P.R., Venkatesh, K.V. A conceptual review on systems biology in health and diseases: from biological networks to modern therapeutics. Syst Synth Biol 8, 99–116 (2014). https://doi.org/10.1007/s11693-013-9125-3

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