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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...

Conservation of Protein Domains

Conservation of Protein Domains

Protein-protein Interfaces

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...

Protein-Protein Interfaces

Protein-Protein Interfaces

Conserved Binding Sites

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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Related Experiment Video

Updated: Apr 21, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Practical aspects of protein co-evolution.

David Ochoa¹, Florencio Pazos²

¹European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI) Hinxton, UK.

Frontiers in Cell and Developmental Biology

|November 4, 2014

Summary

Co-evolutionary analysis of protein families reveals molecular interactions and functional relationships. These mature bioinformatics methods are now widely applicable for biological discovery.

Keywords:

biological networks co-evolution interactome mirrortree protein interactions

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Area of Science:

Evolutionary Biology
Bioinformatics
Molecular Biology

Background:

Co-evolutionary linkages between protein families indicate molecular interactions and functional relationships.
Historically, computational challenges and data requirements limited the application of these methods.
Advancements in computational power and genomic data availability have matured these techniques.

Purpose of the Study:

To review the current landscape of co-evolution-based methodologies.
To highlight applications in significant biological systems.
To showcase how these methods provide novel insights, alone or combined with other approaches.

Main Methods:

Analysis of co-evolutionary patterns across protein families.
Integration of genomic data for computational approaches.
Review of existing literature and case studies.

Main Results:

Co-evolutionary methods are now mature and broadly applicable in bioinformatics.
These approaches successfully identify protein interactions and functional relationships.
Case studies demonstrate significant biological insights derived from co-evolutionary analysis.

Conclusions:

Co-evolutionary analysis is a powerful tool for understanding molecular biology.
The integration of these methods with other approaches enhances biological discovery.
These mature methodologies are essential for modern bioinformaticians and molecular biologists.