RESUMO

The GI tract of a normal adult human contains on the order of 10¹⁴ foreign living organisms, collectively known as the gut microbiome, the proper maintenance of which is critical for health. Because the gut microbiome is a dynamic system of vast complexity, computational modeling is assuming an increasingly important role in helping us to understand how and why it behaves as it does. In particular, computational models can serve as a rapid, cost-effective means of simulating the microbiome on multiple scales, from that of an individual bacterium to the microbiome as a whole. This not only allows questions to be addressed in ways that are impractical in the experimental laboratory; it also permits competing hypotheses to be interrogated for feasibility before they are subjected to expensive and time-consuming experimental testing. Here we review some of the differential equation–based and agent-based approaches that have been applied to the computational modeling of the gut microbiome and its effects on the rest of the body. The models discussed are helping us understand how the microbiome works as a system, how it maintains its crucial symbiotic relationship with its host, and, in particular, how its malfunctions can lead to a number of important and often serious pathologies.