Agent Based Models of Polymicrobial Biofilms and the Microbiome-A Review.
agent-based modeling
biofilm
individual-based modeling
microbiome
review
Journal
Microorganisms
ISSN: 2076-2607
Titre abrégé: Microorganisms
Pays: Switzerland
ID NLM: 101625893
Informations de publication
Date de publication:
17 Feb 2021
17 Feb 2021
Historique:
received:
18
01
2021
revised:
05
02
2021
accepted:
16
02
2021
entrez:
6
3
2021
pubmed:
7
3
2021
medline:
7
3
2021
Statut:
epublish
Résumé
The human microbiome has been a focus of intense study in recent years. Most of the living organisms comprising the microbiome exist in the form of biofilms on mucosal surfaces lining our digestive, respiratory, and genito-urinary tracts. While health-associated microbiota contribute to digestion, provide essential nutrients, and protect us from pathogens, disturbances due to illness or medical interventions contribute to infections, some that can be fatal. Myriad biological processes influence the make-up of the microbiota, for example: growth, division, death, and production of extracellular polymers (EPS), and metabolites. Inter-species interactions include competition, inhibition, and symbiosis. Computational models are becoming widely used to better understand these interactions. Agent-based modeling is a particularly useful computational approach to implement the various complex interactions in microbial communities when appropriately combined with an experimental approach. In these models, each cell is represented as an autonomous agent with its own set of rules, with different rules for each species. In this review, we will discuss innovations in agent-based modeling of biofilms and the microbiota in the past five years from the biological and mathematical perspectives and discuss how agent-based models can be further utilized to enhance our comprehension of the complex world of polymicrobial biofilms and the microbiome.
Identifiants
pubmed: 33671308
pii: microorganisms9020417
doi: 10.3390/microorganisms9020417
pmc: PMC7922883
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : NIDCR NIH HHS
ID : R01 DE013986
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM127909
Pays : United States
Organisme : NIBIB NIH HHS
ID : U01 EB024501
Pays : United States
Organisme : NIH HHS
ID : 1R01GM127909-01,1R011AI135128-01, 1U01EB024501-01, RO1DE013986
Pays : United States
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