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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 Folding

Protein Folding

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...

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...

Amyloid Fibrils

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: May 16, 2026

Interview: Protein Folding and Studies of Neurodegenerative Diseases

Interview: Protein Folding and Studies of Neurodegenerative Diseases

Published on: July 16, 2008

The protein-folding problem, 50 years on.

Ken A Dill¹, Justin L MacCallum

¹Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY 11794-5252, USA. dill@laufercenter.org

Science (New York, N.Y.)

|November 28, 2012

Summary

This summary is machine-generated.

Understanding protein folding, a half-century-old challenge, has advanced significantly. Computer simulations and databases now aid in predicting protein structures and understanding their rapid folding mechanisms.

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Last Updated: May 16, 2026

Interview: Protein Folding and Studies of Neurodegenerative Diseases

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Published on: July 16, 2008

Microfluidic Mixers for Studying Protein Folding

Microfluidic Mixers for Studying Protein Folding

Published on: April 10, 2012

Analysis of Protein Folding, Transport, and Degradation in Living Cells by Radioactive Pulse Chase

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Published on: February 12, 2019

Area of Science:

Biophysics
Computational Biology
Structural Biology

Background:

The protein-folding problem, originating ~50 years ago, addresses how amino acid sequences determine protein structure, the speed of folding, and structure prediction.
It encompasses fundamental questions in physical chemistry and molecular biology.

Purpose of the Study:

To review the progress made in addressing the three core questions of the protein-folding problem.
To highlight advancements in understanding the physical principles and computational approaches to protein structure determination.

Main Methods:

Review of scientific literature and computational simulation data.
Analysis of protein structure data from the Protein Data Bank (PDB).

Main Results:

Computer simulations using detailed models have successfully predicted the folding of small proteins.
Proteins fold rapidly due to thermal motions driving them towards a stable native structure, visualized by funnel-shaped energy landscapes.
Structure prediction accuracy has dramatically improved, largely due to the availability of extensive structural data.

Conclusions:

Significant strides have been made in solving the protein-folding problem over the past half-century.
The field has evolved into 'protein physical science,' integrating physics, chemistry, and biology.
Continued research promises further breakthroughs in understanding and manipulating protein structures.