XML Generator

This is the ARES server to generate XML files with the starting configuration required by ARES to simulate antibiotic resistant evolution dynamics in ecosystem and/or nosocomial scenarios

ARES can be freely donwloaded here

ARES (Antibiotic Resistance Evolution Simulator) is a membrane computing software powered by P-systems model based on 4 types of nested regions emulating a hierarchy of ecological compartments: Peripheral ecosystem, local environment, hosts and host microbiomes. Objects such as plasmids, antibiotic resistance genes and antibiotics/antimicrobials can be placed in this framework and are allowed to interact and evolve according to a set of rules and specifications.

ARES server assists you in preparing step by step the starting configuration to modelize your particular case study and allows you to save the configuration as an XML file, the formal input of ARES. The server allows you to store all the starting configurations created by you for further editing and modification to adapt the starting configuration and then the simulation output to real world observation. For this reason, you need to create a user account in ARES in order to preserve and store your P-system configurations. If you have an account, please, log in to start defining your simulation scenarios, if not, create it in only 1 easy step.

Citing ARES (actual version):
Marcelino Campos, Rafael Capilla, Carlos Llorens, Rafael Canton, Andres Moya, Jose-Maria Sempere, Teresa Coque, Val Fernandez-Lanza, Fernando Naya, Ricardo Futami, Fernando Baquero
Multi-Hierarchical Dynamics of Antimicrobial Resistance Simulated in a Nested Membrane Computing Model
bioRxiv 306100; doi:

Citing ARES (former version):
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.

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