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Related Concept Videos

Protein Folding01:22

Protein Folding

Overview
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
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...
Amyloid Fibrils03:03

Amyloid Fibrils

Amyloid fibrils are aggregates of misfolded proteins.  Under most circumstances, misfolded proteins are either refolded by chaperone proteins or degraded by the proteasome. However, in the case of a mutation or a disease, these proteins can accumulate to form large clusters and often further assemble to form elongated fibers, called fibrils. 
Amyloid deposits were observed as early as 1639 in the liver and the spleen.   In 1854, Rudolph Virchow performed iodine staining, normally used to...

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Related Experiment Video

Updated: Jun 12, 2026

Microfluidic Mixers for Studying Protein Folding
12:42

Microfluidic Mixers for Studying Protein Folding

Published on: April 10, 2012

Competition between folding and aggregation in a model for protein solutions.

M Maiti1, M Rao, S Sastry

  • 1Theoretical Sciences Unit, JNCASR, Bangalore, India. m_moumit@jncasr.ac.in

The European Physical Journal. E, Soft Matter
|June 24, 2010
PubMed
Summary

This study models protein folding and aggregation, revealing how competition influences protein behavior. The findings show distinct phases and dynamics, impacting protein solution stability.

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Last Updated: Jun 12, 2026

Microfluidic Mixers for Studying Protein Folding
12:42

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Published on: April 10, 2012

4D Imaging of Protein Aggregation in Live Cells
08:59

4D Imaging of Protein Aggregation in Live Cells

Published on: April 5, 2013

Thermodynamics of Membrane Protein Folding Measured by Fluorescence Spectroscopy
10:09

Thermodynamics of Membrane Protein Folding Measured by Fluorescence Spectroscopy

Published on: April 28, 2011

Area of Science:

  • Biophysics
  • Chemical Physics
  • Computational Biology

Background:

  • Proteins exist in unfolded (U), misfolded (M), or folded (F) states.
  • Protein aggregation is a significant process with implications for health and biotechnology.
  • Understanding the interplay between folding and aggregation is crucial for protein stability.

Purpose of the Study:

  • To investigate the thermodynamic and kinetic effects of competition between single-protein folding and protein-protein aggregation.
  • To model the phase behavior and dynamic transitions of proteins under different conditions.

Main Methods:

  • Utilized a phenomenological model to simulate protein states (U, M, F).
  • Analyzed phase diagrams to identify coexistence regions and spinodal lines.
  • Simulated dynamic quenching experiments from different initial protein states.

Main Results:

  • Phase diagram exhibits coexistence between misfolded protein aggregates and isolated proteins (U or F).
  • Spinodal behavior at low concentrations shows non-monotonic temperature dependence, affecting folded protein stability.
  • Quenching dynamics reveal complex aggregate size distributions and growth kinetics due to folding-aggregation competition.

Conclusions:

  • The competition between protein folding and aggregation significantly influences protein solution thermodynamics and kinetics.
  • The model provides insights into the stability of protein solutions and the mechanisms of aggregation.
  • Findings have implications for controlling protein aggregation in biological systems and industrial applications.