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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...
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

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Related Experiment Video

Updated: Jun 25, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

Two-state protein folding kinetics through all-atom molecular dynamics based sampling.

Peter G Bolhuis1

  • 1van't Hoff Institute for Molecular Sciences, University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV Amsterdam, The Netherlands. bolhuis@science.uva.nl

Frontiers in Bioscience (Landmark Edition)
|March 11, 2009
PubMed
Summary
This summary is machine-generated.

Advanced computational techniques, including all-atom molecular dynamics and special sampling methods, are crucial for studying protein folding. Combining simulation techniques helps overcome challenges in predicting folding mechanisms and validating models.

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Last Updated: Jun 25, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Published on: March 1, 2022

Microfluidic Mixers for Studying Protein Folding
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Study of Protein Dynamics via Neutron Spin Echo Spectroscopy
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Study of Protein Dynamics via Neutron Spin Echo Spectroscopy

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Area of Science:

  • Computational Biology
  • Biophysics
  • Molecular Dynamics

Background:

  • Protein folding is a complex process often characterized as a rare event.
  • High free energy barriers impede the direct simulation of protein folding.
  • Understanding folding mechanisms requires advanced computational approaches.

Purpose of the Study:

  • To review advanced computational techniques for studying small two-state protein folding.
  • To discuss methods for overcoming sampling challenges in all-atom molecular dynamics simulations.
  • To highlight the importance of combining simulation techniques for accurate folding mechanism determination.

Main Methods:

  • All-atom molecular dynamics simulations.
  • Biased sampling methods for free energy landscape computation.
  • Trajectory-based sampling for kinetic and dynamic analysis.

Main Results:

  • Biased sampling methods facilitate the computation of free energy landscapes.
  • Trajectory-based methods provide insights into folding kinetics and mechanisms.
  • A combination of simulation techniques is essential for addressing all-atom protein folding challenges.

Conclusions:

  • Effective simulation requires overcoming sampling barriers using specialized techniques.
  • Determining the folding reaction coordinate necessitates further analysis beyond sampling.
  • Integrating multiple simulation approaches enables validation of force fields and computational methods through experimental observables.