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Protein Folding

Protein Folding

Protein Folding

Protein Folding

Protein Folding

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 Dynamics in Living Cells

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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...

Molecular Chaperones and Protein Folding

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.
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Molecular Chaperones and Protein Folding

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...

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Related Experiment Video

Updated: Jun 28, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

Principal component analysis for protein folding dynamics.

Gia G Maisuradze¹, Adam Liwo, Harold A Scheraga

¹Baker Laboratory of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853-1301, USA.

Journal of Molecular Biology

|October 28, 2008

Summary

This summary is machine-generated.

Principal components analysis (PCA) effectively characterizes protein folding dynamics, even for coarse-grained simulations. The first principal component captures key system dynamics, revealing insights into protein folding and nonfolding pathways.

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Area of Science:

Computational Biology
Protein Dynamics
Biophysics

Background:

Understanding protein folding is crucial for molecular biology and disease research.
Traditional methods struggle with the complexity of protein folding dynamics.
Coarse-grained models offer a computationally efficient approach to study large biomolecules.

Purpose of the Study:

To evaluate the effectiveness of Principal Component Analysis (PCA) for coarse-grained protein folding simulations.
To analyze the folding and nonfolding dynamics of the triple beta-strand WW domain.
To investigate anomalous diffusion and ballistic behavior in protein folding.

Main Methods:

Generated folding trajectories using the coarse-grained United Residue (UNRES) force field.
Applied Principal Component Analysis (PCA) to analyze simulation data.
Examined free-energy landscapes, mean-square displacement (MSD), and fractional kinetic equations.

Main Results:

PCA proved highly effective in characterizing general folding and nonfolding features of proteins.
The first principal component accurately captured and described the system's detailed dynamics.
Anomalous diffusion and collisionless (ballistic) behavior were observed and explained.

Conclusions:

PCA is a powerful tool for analyzing coarse-grained protein folding dynamics.
The study provides a detailed understanding of the WW domain's folding pathways.
Findings contribute to the development of more accurate computational models for protein dynamics.