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Related Concept Videos

Protein Folding01:25

Protein Folding

Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
Protein Folding01:22

Protein Folding

Overview
Protein Folding01:22

Protein Folding

Overview
Molecular Chaperones and Protein Folding03:00

Molecular Chaperones and Protein Folding

The native conformation of a protein is formed by interactions between the side chains of its constituent amino acids. When the amino acids cannot form these interactions, the protein cannot fold by itself and needs chaperones. Notably, chaperones do not relay any additional information required for the folding of polypeptides; the native conformation of a protein is determined solely by its amino acid sequence. Chaperones catalyze protein folding without being a part of the folded protein.
The...
Molecular Chaperones and Protein Folding03:00

Molecular Chaperones and Protein Folding

The native conformation of a protein is formed by interactions between the side chains of its constituent amino acids. When the amino acids cannot form these interactions, the protein cannot fold by itself and needs chaperones. Notably, chaperones do not relay any additional information required for the folding of polypeptides; the native conformation of a protein is determined solely by its amino acid sequence. Chaperones catalyze protein folding without being a part of the folded protein.
The...
Protein and Protein Structure02:15

Protein and Protein Structure

Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme can...

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Related Experiment Video

Updated: May 20, 2026

Microfluidic Mixers for Studying Protein Folding
12:42

Microfluidic Mixers for Studying Protein Folding

Published on: April 10, 2012

Simple few-state models reveal hidden complexity in protein folding.

Kyle A Beauchamp1, Robert McGibbon, Yu-Shan Lin

  • 1Biophysics Program, Stanford University, Stanford, CA 94305, USA.

Proceedings of the National Academy of Sciences of the United States of America
|July 11, 2012
PubMed
Summary

New methods for analyzing protein folding simulations reveal complex dynamics. These techniques accurately model protein folding kinetics and identify deviations from simple two-state models, uncovering multiple native substates in proteins.

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Area of Science:

  • Computational Biology
  • Biophysics
  • Molecular Dynamics Simulations

Background:

  • Markov state models (MSMs) are increasingly used to analyze protein folding kinetics from molecular dynamics (MD) simulations.
  • Accurate kinetic models are crucial for understanding protein folding pathways and function.
  • Existing methods may not fully capture complex folding dynamics or deviations from simple models.

Purpose of the Study:

  • To introduce and validate two novel methods, flux PCCA+ (FPCCA+) and sliding constraint rate estimation (SCRE), for constructing accurate kinetic rate models from MD simulations.
  • To quantitatively assess the suitability of two-state kinetic models for various protein systems.
  • To identify and characterize complex folding behaviors, including multiple native substates and deviations from two-state kinetics.

Main Methods:

  • Development and application of flux PCCA+ (FPCCA+) and sliding constraint rate estimation (SCRE) techniques.
  • Analysis of fourteen large-scale protein folding simulation datasets generated by Anton and Folding@home.
  • Quantitative assessment of two-state kinetics suitability and prediction of deviations from experimental data.

Main Results:

  • FPCCA+ and SCRE enable accurate kinetic rate modeling from protein folding simulations.
  • Analysis of villin headpiece and FiP35 WW domain revealed multiple native substates consistent with experimental data.
  • Proteins like GTT, NTL9, and protein G, containing beta-sheets, can form long-lived native-like states with minor register shifts, indicating complex dynamics beyond simple two-state models.

Conclusions:

  • The developed FPCCA+ and SCRE methods provide robust tools for analyzing complex protein folding dynamics.
  • Even simple protein systems exhibit folding and functional dynamics involving three or more states, challenging simplistic models.
  • These findings advance our understanding of protein folding landscapes and the prediction of experimentally observable kinetic behaviors.