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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...

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...

Protein Folding Quality Check in the RER

Protein Folding Quality Check in the RER

ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...

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Related Experiment Video

Updated: Jul 18, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Energy optimization for off-lattice protein folding.

Wenqi Huang¹, Mao Chen, Zhipeng Lü

¹School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|December 13, 2006

Summary

This study introduces a new method for protein folding simulations using an unconstrained optimization approach. The algorithm achieves superior results compared to existing methods for specific protein sequences.

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Area of Science:

Computational biology
Protein structure prediction
Biophysics

Background:

Protein folding is a complex biophysical process crucial for biological function.
Accurate prediction of protein structures remains a significant challenge in computational biology.

Purpose of the Study:

To develop an efficient computational method for predicting protein structures.
To improve upon existing algorithms for protein folding simulations.

Main Methods:

Utilized two three-dimensional AB off-lattice protein models with hydrophobic and hydrophilic monomers.
Incorporated an extra energy contribution to convert the constrained optimization problem into an unconstrained one.
Employed a heuristic strategy for random initial configurations and the energy landscape paving (ELP) routine.

Main Results:

The unconstrained optimization approach, solved by the gradient method, yielded improved results.
The proposed algorithm outperformed the nPERM algorithm for four Fibonacci sequences.
Achieved lower energy values than previously reported best values in the literature for specific configurations.

Conclusions:

The developed method offers a more efficient and effective approach to protein folding simulations.
The strategy of converting constrained to unconstrained optimization is beneficial for protein structure prediction.
The results highlight the potential of this method for advancing computational protein design and understanding.