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Related Concept Videos

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...
Conservation of Protein Domains02:26

Conservation of Protein Domains

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 Folding01:22

Protein Folding

Overview
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

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Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...

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Related Experiment Video

Updated: Jul 6, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

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Published on: July 14, 2015

A Merge-Decoupling Dead End Elimination algorithm for protein side-chain conformation.

Ket Fah Chong1, Hon Wai Leong

  • 1Department of Computer Science, National University of Singapore, 3 Science Drive 2, Singapore. chongket@comp.nus.edu.sg

International Journal of Data Mining and Bioinformatics
|April 12, 2008
PubMed
Summary
This summary is machine-generated.

Dead End Elimination (DEE) is a protein modeling technique. A new method, Merge-Decoupling DEE (MD-DEE), further reduces rotamer possibilities after Simple Goldstein DEE, improving protein side chain conformation analysis.

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A Protocol for Computer-Based Protein Structure and Function Prediction
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Published on: November 3, 2011

Area of Science:

  • Computational biology
  • Protein structure prediction
  • Bioinformatics

Background:

  • Dead End Elimination (DEE) is crucial for protein side chain conformation.
  • Simple Goldstein DEE (SG-DEE) efficiently eliminates rotamers by analyzing single residues.
  • Further optimization is needed to enhance rotamer reduction for complex protein structures.

Purpose of the Study:

  • To introduce Merge-Decoupling DEE (MD-DEE) as an advancement over SG-DEE.
  • To demonstrate MD-DEE's effectiveness in reducing rotamer search space.
  • To assess MD-DEE's applicability to large protein systems.

Main Methods:

  • Developed Merge-Decoupling DEE (MD-DEE) algorithm.
  • Applied MD-DEE to protein side chain conformation problem.
  • Compared MD-DEE performance against existing SG-DEE methods.

Main Results:

  • MD-DEE successfully reduces rotamers beyond SG-DEE.
  • Achieved up to 25% additional rotamer reduction with MD-DEE.
  • MD-DEE maintains computational efficiency for large proteins.

Conclusions:

  • MD-DEE offers enhanced rotamer elimination for protein modeling.
  • The method provides a practical improvement for side chain conformation analysis.
  • MD-DEE contributes to more accurate protein structure prediction.