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Networks and Pathways in Systems Pharmacology

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Computational Methods for Processing and Analysis of Biological Pathways

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

Abstract

This chapter presents an extensive overview of aspects involved in the thriving field of systems pharmacology. The three main directions along which network- and pathway-based analysis methods can contribute in systems pharmacology are spotlighted. Current approaches for the characterization of drugs mechanism of action, including the elucidation of mechanisms through which disease phenotypes dysregulate biological processes are first discussed. Subsequently, the latest research work done in systems pharmacology and polypharmacology toward the identification of novel drug targets, as well as in optimizing drug combinations for more efficient therapies, is surveyed. Within this context, the benefits of integrating evidence from multiple biological scales are examined, and the most popular databases used to store various biological data are provided. Drug repositioning is another direction along which pathway analysis is bound to bring significant contributions. An overview of drug repositioning approaches based on molecular and phenotypic profiles is presented. Subsequently, the main aspects involved in systems pharmacology applications for in silico drug side effect modeling and prediction are reviewed. Finally, current challenges and future considerations for pathway analysis and systems pharmacology are discussed.

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Authors and Affiliations

  1. University of Patras, Patras, Greece

    Anastasios Bezerianos & Panos Balomenos

  2. Centre of Life Sciences, National University of Singapore, Singapore, Singapore

    Anastasios Bezerianos

  3. University of Houston, Houston, Texas, USA

    Andrei Dragomir

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  1. Anastasios Bezerianos
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Correspondence to Anastasios Bezerianos .

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Bezerianos, A., Dragomir, A., Balomenos, P. (2017). Networks and Pathways in Systems Pharmacology. In: Computational Methods for Processing and Analysis of Biological Pathways. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-53868-6_2

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