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

A method for modeling life based on physical attributes.

K Iida1

  • 1Fundamental Research Laboratories, NEC Corporation, Tsukuba, Ibaraki, Japan. iida@frl.cl.nec.co.jp

Bio Systems
|May 11, 1999
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

Association of KRAS variants with survival and therapeutic outcomes in biliary tract cancers.

ESMO open·2025
Same author

Thin film growth of CaAgAs by molecular beam epitaxy.

Journal of physics. Condensed matter : an Institute of Physics journal·2020
Same author

p-wave superconductivity in iron-based superconductors.

Scientific reports·2019
Same author

Disseminated toxoplasmosis with atypical symptoms which developed with exacerbation of systemic lupus erythematosus.

Lupus·2018
Same author

Selective mass enhancement close to the quantum critical point in BaFe<sub>2</sub>(As<sub>1-x</sub> P <sub>x</sub> )<sub>2</sub>.

Scientific reports·2017
Same author

Intrinsic and extrinsic pinning in NdFeAs(O,F): vortex trapping and lock-in by the layered structure.

Scientific reports·2016
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

This study introduces an incremental method to model life using four physical attributes: locality, metabolism, entropy reduction, and chemotaxis. The model simulates an autocatalytic reaction, detecting life-like subsystems and paving the way for more complex life modeling.

Area of Science:

  • Systems biology
  • Theoretical biology
  • Biophysics

Background:

  • Defining life remains a challenge in science.
  • Existing models often lack a comprehensive, physically grounded approach.
  • An incremental method can build complexity from fundamental attributes.

Purpose of the Study:

  • To present an incremental method for modeling the essential system of life.
  • To translate key physical attributes of life into quantifiable formulae.
  • To demonstrate the detection of life-like subsystems using a minimal set of attributes.

Main Methods:

  • Development of physical formulae for four attributes: locality, metabolism, entropy reduction, and chemotaxis.
  • Two-dimensional simulation of an autocatalytic reaction.

Related Experiment Videos

  • Evaluation of attribute-based subsystem detection within the simulation.

    • Main Results:

    • Successfully translated four core attributes into physical formulae.
    • Demonstrated the emergence of a life-like subsystem in a simulated autocatalytic reaction.
    • Observed autocatalysts exhibiting chemotaxis-like behavior towards their substrate source.

    Conclusions:

    • An incremental approach using physical attributes can model essential life systems.
    • The four selected attributes are sufficient to detect rudimentary life-like subsystems.
    • Further complexity can be achieved by incorporating additional critical attributes into the model.