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

Folding with a protein's native shortcut network.

Susan Khor1

  • 1Department of Computer Science, Memorial University of Newfoundland, St. John's, Newfoundland and Labrador, Canada.

Proteins
|May 24, 2018
PubMed
Summary

Protein folding can be studied using a complex network approach. Shortcut networks reveal structural characteristics that correlate with folding rates and pathways, aiding in protein structure prediction and design.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same journal

BET Bromodomain Targeting by NSAIDs: Structural, Biophysical, and Computational Insights.

Proteins·2026
Same journal

Sodium Ions Affect GPR17 Conformational States and Functionality.

Proteins·2026
Same journal

Differences in the Activities of Domain-Swapped Chimeras of Two Homologous GH57 Glucanotransferases Suggest That a Glucan-Binding DUF Could Influence Donor Substrate Specificity.

Proteins·2026
Same journal

An (αβ)<sub>2</sub> Architecture of the Arabidopsis thaliana tRNA Splicing Endonuclease Complex: Structural Modeling and Evolutionary Analyses.

Proteins·2026
Same journal

BioMatics 1.0: A Wasserstein Distance Approach for Next-Generation Multiple Sequence Alignment.

Proteins·2026
Same journal

Engineered HSP90-MP65 Bivalent Fusion Antigen: A Novel Vaccine Candidate Against Invasive Candidiasis.

Proteins·2026

Area of Science:

  • Computational biology
  • Biophysics
  • Network science

Background:

  • Protein folding is a fundamental process in biology.
  • Understanding protein folding pathways is crucial for predicting protein structure and function.
  • Existing models often simplify the complex interactions governing protein folding.

Purpose of the Study:

  • To propose a novel complex network approach to protein folding.
  • To investigate the role of shortcut networks and their structural characteristics in protein folding.
  • To explore the implications for protein structure prediction and design.

Main Methods:

  • Reconceptualizing protein contact maps as shortcut networks.
  • Generating shortcut networks using a message passing algorithm.
Keywords:
contact mapfolding kineticsfolding pathwaylogarithm contact ordertriadic interactions

Related Experiment Videos

  • Analyzing network properties like contact order and clustering coefficient.
  • Utilizing Molecular Dynamics simulations to validate findings.
  • Main Results:

    • Shortcut networks of native structures (SCN0s) are relevant graph objects for studying protein folding.
    • SCN0 contact order (SCN0_lnCO) significantly correlates with protein folding rates.
    • SCN0 clustering coefficient (CSCN0) correlates with folding rate, transition-state placement, and stability.
    • CSCN0 can generate reasonable folding pathways and is detectable in non-native structures.

    Conclusions:

    • Shortcut networks provide a valuable framework for understanding protein folding geometry.
    • The proposed network approach has implications for designing multibody interaction schemes in folding models.
    • Native shortcut triangles can identify specific structural features like dehydrated areas.