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Conservation of Protein Domains Over Different Proteins

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 Domains

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 Organization

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 Families

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism. Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members. If these new proteins contain similar amino acids in key locations, protein...

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Related Experiment Video

Updated: Jun 17, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

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

PRTAD: a database for protein residue torsion angle distributions.

Xiaoyong Sun¹, Wu Di, Robert Jernigan

¹Program on Bioinformatics and Computational Biology, Iowa State University, Ames, Iowa 50011, USA. sunx1@iastate.edu

International Journal of Data Mining and Bioinformatics

|January 8, 2010

Summary

This summary is machine-generated.

Protein analysis and modelling is enhanced by PRTAD, a database system analyzing protein residue angles. This structural bioinformatics tool aids in protein structure determination using geometric restraints and statistical potentials.

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Last Updated: Jun 17, 2026

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

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

Published on: July 25, 2013

Area of Science:

Structural bioinformatics
Computational biology
Protein structure analysis

Background:

Protein Data Bank (PDB) contains vast structural data.
Analysis of protein residue angles is crucial for understanding protein structure.
Existing tools may lack comprehensive statistical analysis of these angles.

Purpose of the Study:

To develop a dedicated database and bioinformatics system, PRTAD, for protein analysis and modeling.
To host and analyze statistical data of protein residue level 'virtual' bond and torsion angles.
To provide a user-friendly interface for accessing and visualizing angle distributions.

Main Methods:

Data collection from known protein structures (e.g., PDB).
Statistical analysis of protein residue bond and torsion angles.
Development of a web interface for user interaction and data retrieval.

Main Results:

PRTAD successfully hosts and analyzes statistical distributions of various protein angle types.
The system can generate, cache, and display these distributions.
Collected data can be used to derive geometric restraints and statistical potentials.

Conclusions:

PRTAD provides a valuable resource for protein structure determination.
The system facilitates the extraction of geometric information from protein structural databases.
User-friendly access to angle distributions supports advanced protein modeling and analysis.