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

Pathway heterogeneity in protein folding.

Ariel Fernández1, Andrés Colubri

  • 1Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, USA. ariel@uchicago.edu

Proteins
|July 12, 2002
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

scSketch: Interactive Sketch-based Trajectory Exploration and Pathway-Aware Analysis of Single-Cell Data.

bioRxiv : the preprint server for biology·2026
Same author

App-based epidemic game in a university campus reveals how risk perception and behavioral interventions shape disease transmission dynamics.

Scientific reports·2026
Same author

A call for shared digital infrastructure in travel medicine: the travel health data commons.

Journal of travel medicine·2026
Same author

Real-time spatiotemporal tracking of infectious outbreaks in confined environments with a host-pathogen agent-based system.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

An expanded registry of candidate cis-regulatory elements.

Nature·2026
Same author

Travel Healthy, a mobile app for participatory surveillance among U.S. international travelers.

Travel medicine and infectious disease·2025

Protein folding pathways are generated ab initio for two proteins, revealing that successful folding depends on maximizing protected hydrogen bonds and context-dependent pathway heterogeneity. This clarifies the transition-state ensemble for two-state folders.

Area of Science:

  • Protein folding dynamics
  • Biophysics
  • Computational biology

Background:

  • Two-state protein folders like protein G (1gb4) and ubiquitin (1ubi) are studied to understand folding mechanisms.
  • Understanding protein folding pathways is crucial for protein engineering and drug design.

Purpose of the Study:

  • To generate ab initio folding pathways for two single-domain proteins (1gb4 and 1ubi).
  • To identify the folding nucleus and understand the role of hydrogen bond protection in folding.
  • To investigate the dependence of folding pathway heterogeneity on large-scale context versus contact order.

Main Methods:

  • Ab initio folding simulations were performed on hyperthermophile variant of protein G domain (1gb4) and ubiquitin (1ubi).
  • Analysis focused on identifying stationary plateaus that maximize protected hydrogen bonds to locate the folding nucleus.

Related Experiment Videos

  • Mutational Phi values were estimated as ensemble averages to deconvolute contributions from individual folding routes.
  • Main Results:

    • A generic feature of two-state folders was identified: reduced structural fluctuations occur at a plateau maximizing protected hydrogen bonds.
    • Folding becomes efficient only when a topology is formed that shields intramolecular hydrogen bonds from water.
    • Pathway heterogeneity is linked to the protein's reliance on large-scale context for folding, not solely contact order.
    • Results were experimentally corroborated by chymotrypsin inhibitor (CI2) data and led to verifiable predictions.

    Conclusions:

    • Successful two-state protein folding relies on maximizing protected hydrogen bonds and achieving a specific topology.
    • Folding pathway heterogeneity is influenced by the protein's dependence on large-scale context, impacting the transition-state ensemble.
    • The study provides a framework for understanding and predicting protein folding mechanisms, with implications for protein design.