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Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions
Hans Knöll Institute (HKI) in Jena, Germany.
Hans Knöll Institute (HKI) in Jena, Germany.
Linköping University, Department of Physics, Chemistry and Biology, Bioinformatics. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
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2016 (English)In: Briefings in Functional Genomics & Proteomics, ISSN 2041-2649, E-ISSN 2041-2657Article in journal (Refereed) Epub ahead of print
Abstract [en]

Recent and rapidly evolving progress on high-throughput measurement techniques and computational performance has led to the emergence of new disciplines, such as systems medicine and translational systems biology. At the core of these disciplines lies the desire to produce multiscale models: mathematical models that integrate multiple scales of biological organization, ranging from molecular, cellular and tissue models to organ, whole-organism and population scale models. Using such models, hypotheses can systematically be tested. In this review, we present state-of-the-art multiscale modelling of bacterial and fungal infections, considering both the pathogen and host as well as their interaction. Multiscale modelling of the interactions of bacteria, especially Mycobacterium tuberculosis, with the human host is quite advanced. In contrast, models for fungal infections are still in their infancy, in particular regarding infections with the most important human pathogenic fungi, Candida albicans and Aspergillus fumigatus. We reflect on the current availability of computational approaches for multiscale modelling of host-pathogen interactions and point out current challenges. Finally, we provide an outlook for future requirements of multiscale modelling.

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Keyword [en]
host–pathogen interaction; infection; mathematical modelling; multiscale modelling
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URN: urn:nbn:se:liu:diva-126449DOI: 10.1093/bfgp/elv064PubMedID: 26857943OAI: diva2:914663
Available from: 2016-03-24 Created: 2016-03-24 Last updated: 2016-04-12

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Gustafsson, MikaCedersund, Gunnar
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