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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...
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 Organization01:13

Protein Organization

Overview

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Related Experiment Video

Updated: May 7, 2026

Microfluidic Mixers for Studying Protein Folding
12:42

Microfluidic Mixers for Studying Protein Folding

Published on: April 10, 2012

An alternative approach to protein folding.

Yeona Kang1, Charles M Fortmann

  • 1Department of Materials Science and Engineering, Stony Brook University, Stony Brook, NY 11794-2275, USA.

Biomed Research International
|October 1, 2013
PubMed
Summary

This study introduces a novel ab initio protein folding simulation using diffusion theory. The model accurately predicts protein structures, offering a fast and efficient computational approach.

Area of Science:

  • Computational Biology
  • Biophysics
  • Structural Biology

Background:

  • Protein structure prediction is crucial for understanding biological function.
  • Existing ab initio methods often require significant computational resources or template-based approaches.
  • Developing efficient and accurate simulation methods remains a key challenge.

Purpose of the Study:

  • To present a novel diffusion theory-based, all-physical ab initio protein folding simulation model.
  • To evaluate the model's accuracy in predicting secondary and tertiary protein structures.
  • To assess the computational efficiency and potential applications of the simulation method.

Main Methods:

  • Utilized a drift-diffusion model simulating protein substructure movement within energy fields.

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Using Caenorhabditis elegans as a Model System to Study Protein Homeostasis in a Multicellular Organism

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  • Performed simulations at physiologic and ambient temperatures without templates or statistical inputs.
  • Surveyed approximately 100 protein secondary structures and determined 20 tertiary structures.

    • Main Results:

    • Correctly identified over 70% of secondary core structures (>80% alpha helices) for proteins (30-200 amino acids).
    • Predicted tertiary structures with Root Mean Square Deviation (RMSD) values of 3-5 Angstroms for proteins (30-150 amino acids).
    • Achieved simulation times on a desktop computer within minutes, with enhanced accuracy via molecular dynamic energy relaxation.

    Conclusions:

    • The drift-diffusion model provides accurate ab initio protein structure predictions, competitive with existing methods.
    • The simulation method is computationally efficient, running on standard hardware.
    • The model successfully replicates observed protein folding dynamics, including secondary structure formation and tertiary structure compaction.