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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

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Protein Folding Quality Check in the RER01:29

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...
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Protein and Protein Structure02:15

Protein and Protein Structure

Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme can...

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Updated: May 24, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Improved method for predicting protein fold patterns with ensemble classifiers.

W Chen1, X Liu, Y Huang

  • 1School of Information Science and Technology, Xiamen University, Xiamen, Fujian, China.

Genetics and Molecular Research : GMR
|February 29, 2012
PubMed
Summary
This summary is machine-generated.

Predicting protein folding patterns is complex. Ensemble classifiers using 20-dimensional features improved accuracy to 77%, outperforming traditional methods for protein structure prediction.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Bioinformatics

Background:

  • Protein folding is a critical challenge in 21st-century biophysics.
  • Predicting protein folding patterns is difficult due to the intricate structures of proteins.

Purpose of the Study:

  • To enhance the accuracy of protein folding pattern prediction.
  • To explore the efficacy of ensemble classifiers in this prediction task.

Main Methods:

  • Extracted 188-dimensional features based on protein composition and physicochemical properties.
  • Selected 20-dimensional features using a coupled position-specific scoring matrix.
  • Employed ensemble classifiers for improved prediction accuracy.

Main Results:

  • The 188-dimensional feature method achieved 71.2% accuracy via five cross-validations.
  • The 20-dimensional feature vector method reached 77% accuracy.
  • Application to recent data yielded 54.2% accuracy.

Conclusions:

  • Ensemble classifiers, particularly with reduced feature sets, offer superior protein folding prediction accuracy compared to traditional methods.
  • The developed methods and resources are valuable for advancing protein structure prediction research.