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

What parameters characterize "life"?

Shigeki Mitaku1, Ryusuke Sawada2

  • 1Emeritus Professor of Nagoya University, Kokubunji, Tokyo 185-0021, Japan.

Biophysics and Physicobiology
|April 15, 2017
PubMed
Summary

Life

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

ROWVA: A Structure-Based Metric for Predicting the Pathogenicity of Protein Variants Using Alphafold2.

Cancer science·2026
Same author

Collagen-binding C-type natriuretic peptide enhances chondrogenesis and osteogenesis.

JCI insight·2025
Same author

Human Microbiome-Based Prediction of Health Effects of Foods via Machine Learning.

Journal of agricultural and food chemistry·2025
Same author

Big data-driven target identification by machine learning: DRD2 as a therapeutic target for psoriasis.

Journal of dermatological science·2025
Same author

Eight-Year Outcomes of Cardiosphere-Derived Cells in Single Ventricle Congenital Heart Disease.

Journal of the American Heart Association·2024
Same author

Pathway-based prediction of the therapeutic effects and mode of action of custom-made multiherbal medicines.

Molecular informatics·2024

Area of Science:

  • Genomics
  • Systems Biology
  • Biophysics

Background:

  • Life is a complex state of matter governed by molecular interactions.
  • Genome sequence dictates organism survival and cellular conditions.
  • Understanding life's principles requires holistic genome analysis.

Purpose of the Study:

  • To elucidate a key parameter characterizing the state of "life".
  • To investigate the constant ratio of membrane proteins across diverse genomes.
  • To identify genome DNA sequence properties causing this constant ratio.

Main Methods:

  • Analysis of amino acid sequences from 557 prokaryotic and 40 eukaryotic genomes.
  • Utilized the SOSUI online tool for membrane protein prediction based on physical parameters.
  • Examined nucleotide compositions at codon positions for systematic biases.

Main Results:

  • A consistent ratio of approximately 23% membrane proteins was predicted across all analyzed genomes.
  • Identified systematic biases in nucleotide codon compositions, deviating from random distribution.
  • Hypothesized that these biases restrict random mutations, maintaining the membrane protein ratio.

Conclusions:

  • The constant ratio of membrane proteins is a controlled cellular parameter.
  • Systematic biases in nucleotide codon composition likely influence genome evolution.
  • A holistic, systems-level approach is crucial for understanding life's fundamental principles.
Keywords:
SOSUIgenome sequencemembrane proteinpredictionprinciple

Related Experiment Videos