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Computational Modeling of the Human Microbiome

Integrative Life Sciences, Virginia Commonwealth University, 1000 West Cary Street, Richmond, VA 23284 USA
Chemical and Life Science Engineering, Virginia Commonwealth University, 601 West Main Street, Richmond, VA 23284, USA
Author to whom correspondence should be addressed.
Microorganisms 2020, 8(2), 197;
Received: 16 December 2019 / Revised: 23 January 2020 / Accepted: 27 January 2020 / Published: 31 January 2020
(This article belongs to the Special Issue Genome-Scale Modeling of Microorganisms in the Real World)
The impact of microorganisms on human health has long been acknowledged and studied, but recent advances in research methodologies have enabled a new systems-level perspective on the collections of microorganisms associated with humans, the human microbiome. Large-scale collaborative efforts such as the NIH Human Microbiome Project have sought to kick-start research on the human microbiome by providing foundational information on microbial composition based upon specific sites across the human body. Here, we focus on the four main anatomical sites of the human microbiome: gut, oral, skin, and vaginal, and provide information on site-specific background, experimental data, and computational modeling. Each of the site-specific microbiomes has unique organisms and phenomena associated with them; there are also high-level commonalities. By providing an overview of different human microbiome sites, we hope to provide a perspective where detailed, site-specific research is needed to understand causal phenomena that impact human health, but there is equally a need for more generalized methodology improvements that would benefit all human microbiome research. View Full-Text
Keywords: human microbiome; genome scale modeling; DNA sequencing; human health human microbiome; genome scale modeling; DNA sequencing; human health
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Chowdhury, S.; Fong, S.S. Computational Modeling of the Human Microbiome. Microorganisms 2020, 8, 197.

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