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Modelling Oxidative Stress Pathways

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Networks in Systems Biology

Part of the book series: Computational Biology ((COBO,volume 32))

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Abstract

Oxidative stress occurs as a result of an imbalance in reactive oxygen species (ROS) and antioxidant defences within the cells. It plays a key role in many physiological disease states, ranging from Alzheimer’s to cancer, as well as in infectious diseases; for instance, oxidative stress is significant during bacterial infection where macrophages and neutrophils subject pathogenic bacteria to oxidising environments or upon exposure to antibiotics. Therefore, it is vital to understand the systems biology of oxidative stress in order to effectively tackle the many issues that it is related to. In this chapter, computational approaches applied for understanding oxidative stress in bacteria and eukaryotes will be detailed together with the relevant biological advances. These approaches include construction of protein–protein interaction networks, logical and flux balance modelling techniques, machine learning applications and, lastly, high-throughput genomic methods such as next-generation sequencing, which generates data to be used in the aforementioned techniques. Finally, several case studies will be presented and discussed in the context of oxidative stress.

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Authors and Affiliations

  1. Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, UK

    Harry Beaven & Ioly Kotta-Loizou

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  1. Harry Beaven
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  2. Ioly Kotta-Loizou
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Correspondence to Ioly Kotta-Loizou .

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Editors and Affiliations

  1. Scientific Computing Program (PROCC), Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    Fabricio Alves Barbosa da Silva

  2. CDTS, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

    Nicolas Carels

  3. Department of Computational Modeling, National Laboratory of Scientific Computing, Petrópolis, Rio de Janeiro, Brazil

    Marcelo Trindade dos Santos

  4. Graduate Program in Nanobiosystems, Federal University of Rio de Janeiro, Duque de Caxias, Rio de Janeiro, Brazil

    Francisco José Pereira Lopes

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Beaven, H., Kotta-Loizou, I. (2020). Modelling Oxidative Stress Pathways. In: da Silva, F.A.B., Carels, N., Trindade dos Santos, M., Lopes, F.J.P. (eds) Networks in Systems Biology. Computational Biology, vol 32. Springer, Cham. https://doi.org/10.1007/978-3-030-51862-2_11

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