About this Research Topic
Recent medical research has increasingly pointed to the human microbiome's integral role in health and disease, revealing complex microbial interactions that contribute to various medical conditions. Insights into these connections are pivotal for understanding disease origins and devising new therapeutic strategies. The complexity of microbial ecosystems, where viruses, bacteria, and other microorganisms interact in intricate networks, makes this a challenging but critical area of study. Emerging computational technologies and enhanced algorithms have now begun to offer unprecedented capabilities in modelling these complex interactions, promising new breakthroughs in both environmental conservation and medical science.
This research topic aims to review and expand the contemporary understanding of microbial modelling within both medical and ecological contexts. By examining cutting-edge developments in computational techniques, this collection seeks to enhance our capacity to predict microbial behaviour, contributing to both healthcare innovation and ecological management.
To explore the boundaries of microbial interaction modelling, this research initiative focuses on both theoretical advancements and practical applications in bioinformatics. We encourage contributions that bridge the gap between microbiology and computer science, including, but not limited to, the following areas:
• Bacteria/phages modelling.
• Bacteria/bacteria and virus/bacteria dynamics.
• Virus/cells modelling.
• 2D/3D infectious modelling.
• Population models.
• Stochastic models of viral or bacterial infection.
• Trophic chains.
• Microbial networks.
This research topic aims to review and expand the contemporary understanding of microbial modelling within both medical and ecological contexts. By examining cutting-edge developments in computational techniques, this collection seeks to enhance our capacity to predict microbial behaviour, contributing to both healthcare innovation and ecological management.
To explore the boundaries of microbial interaction modelling, this research initiative focuses on both theoretical advancements and practical applications in bioinformatics. We encourage contributions that bridge the gap between microbiology and computer science, including, but not limited to, the following areas:
• Bacteria/phages modelling.
• Bacteria/bacteria and virus/bacteria dynamics.
• Virus/cells modelling.
• 2D/3D infectious modelling.
• Population models.
• Stochastic models of viral or bacterial infection.
• Trophic chains.
• Microbial networks.
Keywords: Microbial/Viral interactions, Human microbiome, Disease prediction, Microbial dynamics, Computational modeling, Bacteria/phages modeling, Virus/bacteria dynamics, Microbial networks
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
