Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Rule-based computing system for microbial interactions and communications: evolution in virtual bacterial

R Gregory1, V A Saunders, J R Saunders

  • 1Department of Computer Science, Ashton Building, University of Liverpool, Liverpool L69 3BX, United Kingdom. greg@csc.liv.ac.uk

Bio Systems
|November 21, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis.

Animal microbiome·2025
Same author

The high intensity diffractometer for residual stress analysis (HIDRA), a third generation residual stress mapping neutron diffractometer at the high flux isotope reactor.

The Review of scientific instruments·2023
Same author

Written communications from hospital diabetes departments: standards required to mitigate unintentional harm.

Diabetic medicine : a journal of the British Diabetic Association·2018
Same author

Antecedent anti-NMDA receptor encephalitis in two patients with multiple sclerosis.

Multiple sclerosis and related disorders·2017
Same author

The clinical significance of ABCB1 overexpression in predicting outcome of CML patients undergoing first-line imatinib treatment.

Leukemia·2016
Same author

Closed-loop glycaemic control using an implantable artificial pancreas in diabetic domestic pig (Sus scrofa domesticus).

International journal of pharmaceutics·2015
Same journal

Ruliological Resilience: Pattern Restoration and Robustness in Wolfram Patterns. A Basis for Regeneration, Not Just in Cone Shells?

Bio Systems·2026
Same journal

The quantum-to-classical transducer: A thermodynamic and quantum mechanical framework for the emergence of bioenergetics.

Bio Systems·2026
Same journal

Forward-backward gene expression binarization for boolean state inference over a known regulatory network.

Bio Systems·2026
Same journal

Partial-label metric ceilings for evaluating gene regulatory networks inferred from single-cell foundation models.

Bio Systems·2026
Same journal

The impedance mismatch theory: A non-equilibrium thermodynamic framework for a shared energetic stress pathway in neurodegeneration.

Bio Systems·2026
Same journal

Immune signal-status misclassification: A theoretical framework for biological status assignment and failed status resolution.

Bio Systems·2026
See all related articles

We created COSMIC-Rules, a novel system for simulating bacterial evolution and interactions. This computational model aids in understanding microbial adaptation and predicting pathogen behavior.

Area of Science:

  • Computational biology
  • Microbial evolution
  • Systems biology

Background:

  • Bacterial populations exhibit complex interactions and evolutionary dynamics.
  • Simulating these processes requires sophisticated computational models.
  • Understanding microbial communication is key to predicting adaptation and disease spread.

Purpose of the Study:

  • To develop a novel rule-based computing system, COSMIC-Rules, for simulating bacterial evolutionary processes.
  • To model microbial interactions, communications, and adaptation within virtual populations.
  • To predict the behavior of pathogenic bacteria and their viruses.

Main Methods:

  • Developed a multi-level model incorporating bacterial genome, cell, and environment.
  • Implemented a simplified representation of bacterial species with functional genomes and extrachromosomal elements.

Related Experiment Videos

  • Utilized bit string matching for biological recognition systems, enabling modeling of molecular interactions.
  • Designed for parallel execution on large-scale computing clusters and Grid systems.

    • Main Results:

    • Successfully simulated evolutionary processes in virtual bacterial populations.
    • Demonstrated the model's capability to handle millions of bacteria across multiple species and substrates.
    • Validated the representation of complex phenotypes through gene system abstractions.
    • Enabled large-scale simulations requiring genealogical records for individual organisms.

    Conclusions:

    • COSMIC-Rules provides a powerful framework for studying bacterial adaptation and evolution.
    • The system can inform predictions of pathogenic bacteria and virus population dynamics.
    • The model's scalability and flexibility support diverse research applications in microbial systems biology.