Antibiotic Resistance Evolution Simulator


  • The maximum capacity of this region is for ... individuals
  • ... rate of individuals of type ... present in this region will emigrate to region ... each ... hours
  • Each iteration, ... rate of host ... transfers ... percent of its bacterial organism to host ...


  • The maximum population size of a microbiome within this region is ... computational units of cells

Bacterial lineages

  • The maximum number of plasmid ... per bacterial cell ... is ...
  • Bacterial cell transfers plasmid ... with its resistance genes to other bacterial cell ... with frequency ....
  • Bacterial cells grow at a rate of ... (from 1.0 to 2.0)
  • Resistance gene ... inhibits antibiotic ...
  • The gaining of the Plasmid/Resistance Gene ... reduces the ability of replication in this bacteria in a rate of ...
  • This microbiome has a probability of ... of suffer a mutation an win the gen ...

Request new rules/specifications

Fill this form if you want us to add a new rule or specification to the system. Administrators will study its validity and applicability and will notify when rule is implemented.

Before submitting, take a look at the rules and specifications at the left for getting familiar with its definitions and syntax. Please, be as specific and concrete as possible.

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Citing ARES:
Marcelino Campos, Carlos Llorens, José M. Sempere, Ricardo Futami, Irene Rodriguez, Purificación Carrasco, Rafael Capilla, Amparo Latorre, Teresa M. Coque, Andres Moya and Fernando Baquero. 2015. A membrane computing simulator of trans-hierarchical antibiotic resistance evolution dynamics in nested ecological compartments (ARES). Biology Direct 2015, 10:41.