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

The heart is already working.

D Noble1

  • 1University Laboratory of Physiology, Parks Road, Oxford OX1 3PT, UK. denis.noble@physiol.ox.ac.uk

Biochemical Society Transactions
|May 27, 2005
PubMed
Summary
This summary is machine-generated.

Computational modeling of biological systems, from genes to whole organs, reveals emergent functionality. By simulating protein interactions, we can predict the logic of healthy and diseased states, exemplified by heart models.

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

Prognostic Implications of HPV Cell-Free DNA Serial Testing During Follow-Up of p16 Positive Oropharyngeal Squamous Cell Carcinoma After Curative-Intent Treatment.

Clinical oncology (Royal College of Radiologists (Great Britain))·2025
Same author

Effects of Natura 2000 on nontarget bird and butterfly species based on citizen science data.

Conservation biology : the journal of the Society for Conservation Biology·2019
Same author

Negative relationships between species richness and temporal variability are common but weak in natural systems.

Ecology·2018
Same author

Bridging Systems Medicine and Patient Needs.

CPT: pharmacometrics & systems pharmacology·2015
Same author

Progress in understanding electro-mechanical signalling in the myometrium.

Acta physiologica (Oxford, England)·2014
Same author

Psychodynamics of alcoholism in a woman.

Psychiatry·2014
Same journal

TDP-43 proteinopathy as a biomarker and therapeutic target in amyotrophic lateral sclerosis.

Biochemical Society transactions·2026
Same journal

Advancing the monitoring of organelle contact sites in vitro and in vivo.

Biochemical Society transactions·2026
Same journal

Mechanisms influencing transient cytoplasmic protein targeting to intracellular lipid droplets.

Biochemical Society transactions·2026
Same journal

Replication associated nuclear DNA mismatch repair across kingdoms.

Biochemical Society transactions·2026
Same journal

Phosphatases of regenerating liver downregulate PTEN to promote tumorigenesis.

Biochemical Society transactions·2026
Same journal

Implications of Rho GTPase signaling in cancer immunotherapy.

Biochemical Society transactions·2026
See all related articles

Area of Science:

  • Systems biology
  • Computational biology
  • Physiology

Background:

  • Understanding biological function requires examining emergent properties from molecular interactions, not just individual genes or proteins.
  • Functionality arises from complex cascades of protein interactions within the cellular environment.

Purpose of the Study:

  • To demonstrate the feasibility of quantitatively exploring biological functionality from genetic information to whole-organ physiological outcomes.
  • To highlight the necessity of computational approaches for deciphering the logic of living systems.

Main Methods:

  • Utilizing large biological databases and computational models of cells, tissues, and organs.
  • Developing and applying powerful computing hardware and algorithms for quantitative analysis.

Related Experiment Videos

  • Employing computational models of the heart as a case study.

    • Main Results:

    • Demonstrated the ability to trace consequences from individual genetic information (e.g., mutations) to whole-organ level effects.
    • Showcased the power of computational simulation in exploring biological system logic.
    • Validated the quantitative approach across multiple biological scales.

    Conclusions:

    • Computational modeling is essential for understanding the emergent logic of biological systems.
    • It is now possible to link genetic variations to physiological consequences at the organ level.
    • This approach offers a pathway to understanding both healthy and diseased states.