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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 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

Protein Folding

Overview
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...

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Related Experiment Video

Updated: Jun 27, 2026

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

Published on: July 8, 2025

Advances and pitfalls in protein structure prediction.

D Cozzetto1, A Tramontano

  • 1Department of Biochemical Sciences University of Rome La Sapienza, Rome, Italy. domenico.cozzetto@uniroma1.it

Current Protein & Peptide Science
|December 17, 2008
PubMed
Summary

Computational bioinformatics methods are essential for predicting protein structures when experimental data is limited. This review highlights progress and challenges in structural bioinformatics for biological research.

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Last Updated: Jun 27, 2026

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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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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Area of Science:

  • Structural bioinformatics
  • Computational biology
  • Molecular biology

Background:

  • Experimental determination of 3D protein structures lags behind sequence data deposition.
  • Accurate protein structure information is vital for molecular and systems biology.
  • Functional annotation of genes and genomes relies on bioinformatics approaches.

Purpose of the Study:

  • To review the current state of structural bioinformatics.
  • To identify key challenges and advancements in protein structure prediction and comparison.
  • To emphasize the importance of computational models in biological research.

Main Methods:

  • Review of existing literature and methodologies in structural bioinformatics.
  • Analysis of progress in protein sequence comparison and structure prediction techniques.
  • Discussion of open questions and future directions in the field.

Main Results:

  • Significant progress has been made in computational protein modeling.
  • Bioinformatics tools are increasingly crucial for addressing biological questions.
  • The field faces ongoing challenges in accuracy and efficiency.

Conclusions:

  • Structural bioinformatics is indispensable for modern biological research.
  • Continued advancements in computational methods are expected to drive innovation in biomedical, pharmaceutical, and biotechnological fields.
  • Effective utilization of computational protein models is key to future discoveries.