Modelling approaches for studying the microbiome
Reviewartikel, 2019

Advances in metagenome sequencing of the human microbiome have provided a plethora of new insights and revealed a close association of this complex ecosystem with a range of human diseases. However, there is little knowledge about how the different members of the microbial community interact with each other and with the host, and we lack basic mechanistic understanding of these interactions related to health and disease. Mathematical modelling has been demonstrated to be highly advantageous for gaining insights into the dynamics and interactions of complex systems and in recent years, several modelling approaches have been proposed to enhance our understanding of the microbiome. Here, we review the latest developments and current approaches, and highlight how different modelling strategies have been applied to unravel the highly dynamic nature of the human microbiome. Furthermore, we discuss present limitations of different modelling strategies and provide a perspective of how modelling can advance understanding and offer new treatment routes to impact human health.


metabolic modeling


Manish Kumar

Chalmers, Biologi och bioteknik, Systembiologi

University of California

Boyang Ji

Chalmers, Biologi och bioteknik, Systembiologi

Karsten Zengler

University of California

Jens B Nielsen

Danmarks Tekniske Universitet (DTU)

Chalmers, Biologi och bioteknik, Systembiologi

Nature Microbiology

2058-5276 (eISSN)

Vol. 4 8 1253-1267


Övrig annan teknik


Datavetenskap (datalogi)



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