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Related Concept Videos

Protein Folding01:22

Protein Folding

Overview
Protein Folding01:22

Protein Folding

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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 Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
Protein Organization01:13

Protein Organization

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Protein Organization01:13

Protein Organization

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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

Protein structure prediction using a docking-based hierarchical folding scheme.

Ilona Kifer1, Ruth Nussinov, Haim J Wolfson

  • 1School of Computer Science, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel. ilonak@post.tau.ac.il

Proteins
|March 30, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces FOBIA, a novel automated method for protein structure prediction. FOBIA enhances template-based prediction by hierarchically assembling structural units, offering a promising alternative for protein folding research.

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Area of Science:

  • Computational Biology
  • Structural Biology
  • Bioinformatics

Background:

  • Protein structure prediction remains a significant challenge in molecular biology.
  • Current methods often rely on existing protein structure databases but overlook the folding pathway.
  • Understanding protein folding pathways is crucial for deciphering biological function.

Purpose of the Study:

  • To present FOBIA, an automated hierarchical method for protein structure prediction.
  • To enhance template-based protein structure prediction by incorporating folding pathway insights.
  • To evaluate FOBIA's efficiency and promise on challenging targets.

Main Methods:

  • FOBIA employs a two-stage approach: profile-profile comparison for identifying structural units and a docking-based method for assembling them.
  • The method identifies matches between target sequences and independently folding structural units.
  • Structural units are assembled into a 3D structure by ranking their orientations.

Main Results:

  • FOBIA was successfully applied to template-based targets from CASP8.
  • The enhanced method demonstrated high efficiency and promising results in predicting protein structures.
  • The docking-based ranking technique proved effective for assembling structural units.

Conclusions:

  • FOBIA offers a viable and efficient alternative for template-based protein structure prediction.
  • The hierarchical assembly approach provides new insights into protein folding.
  • The presented docking-based ranking technique can be integrated into other profile-profile comparison methods.