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Related Concept Videos

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 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 Folding01:22

Protein Folding

Overview

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Related Experiment Video

Updated: Jul 2, 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.

Bissan Al-Lazikani1, Emma E Hill, Veronica Morea

  • 1Biofocus DPI, London, United Kingdom.

Methods in Molecular Biology (Clifton, N.J.)
|August 21, 2008
PubMed
Summary
This summary is machine-generated.

Automated protein structure prediction now yields accurate models. This generic procedure integrates top-performing tools and evolutionary data to achieve expert-level protein modeling from amino acid sequences.

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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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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:

  • Computational biology
  • Structural biology
  • Bioinformatics

Background:

  • Protein structure prediction methods have advanced significantly.
  • Automated methods can generate accurate 3D protein models.
  • Human experts still outperform automated servers in protein modeling.

Purpose of the Study:

  • To describe a generic procedure for protein 3D model generation.
  • To integrate best-performing automated tools and evolutionary insights.
  • To achieve expert-level protein structure prediction.

Main Methods:

  • Utilizing programs and servers with proven performance in blind tests.
  • Leveraging knowledge of protein evolutionary relationships.
  • Analyzing protein sequence, structure, and functional data.

Main Results:

  • A generic procedure for obtaining 3D protein models from amino acid sequences is presented.
  • The method combines automated tools with evolutionary information.
  • The approach aims to match or exceed the accuracy of human experts.

Conclusions:

  • A standardized, effective procedure for protein structure prediction is established.
  • Integration of computational tools and evolutionary data enhances model accuracy.
  • This generic method represents a significant step towards expert-level automated protein modeling.