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Related Concept Videos

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...
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

Overview
Protein Organization01:13

Protein Organization

Overview
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 Folding01:22

Protein Folding

Overview

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Updated: Jun 21, 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

Protein structure prediction based on sequence similarity.

Lukasz Jaroszewski1

  • 1The Burnham Institute, La Jolla, CA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|July 23, 2009
PubMed
Summary
This summary is machine-generated.

Predicting protein structures from sequences is possible using similarity to known structures. This method aids in analyzing mutations, reactions, and designing drugs, bypassing costly experimental methods.

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Last Updated: Jun 21, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Area of Science:

  • Structural biology
  • Bioinformatics
  • Computational chemistry

Background:

  • Protein structure prediction leverages the principle that similar sequences fold into similar 3D structures.
  • This forms the basis for computational methods predicting novel protein structural features.

Purpose of the Study:

  • To provide a practical review of popular template-based protein structure prediction methods.
  • To outline an approach for protein structure prediction using sequence similarity.

Main Methods:

  • Utilizing sequence similarity to known protein structures for prediction and modeling of entire structural domains.
  • Employing statistical analysis of local features from known structures to predict features in proteins with unknown structures.
  • Focusing on template-based protein structure prediction while referencing other relevant methods.

Main Results:

  • Accurate protein structure models are achievable, sufficient for analyzing point mutation effects, enzymatic reactions, and protein complex interactions.
  • Models are valuable for crystallographic data phasing and can inform drug design strategies.
  • Computational modeling circumvents expensive and time-consuming experimental structure determination.

Conclusions:

  • Template-based protein structure prediction is a powerful tool with broad applications in biological and pharmaceutical research.
  • The accuracy of these methods supports various analyses and design processes.
  • This approach offers a cost-effective alternative to experimental structure determination.