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Related Concept Videos

Conservation of Protein Domains Over Different Proteins02:26

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...
Protein Networks02:26

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,...
Protein Networks02:26

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,...
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...
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...
Conserved Binding Sites01:49

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 analyses the...

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Related Experiment Video

Updated: Jun 27, 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

Gene expression trends and protein features effectively complement each other in gene function prediction.

Krzysztof Wabnik1, Torgeir R Hvidsten, Anna Kedzierska

  • 1Department of Plant Systems Biology, VIB Technologiepark 927, 9052 Gent, Belgium. krwab@psb.ugent.be

Bioinformatics (Oxford, England)
|December 4, 2008
PubMed
Summary
This summary is machine-generated.

Rough Sets integrate diverse omics data for gene function prediction, achieving high success rates. This approach enhances understanding of biological systems by leveraging synergistic information from multiple data types.

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Published on: January 26, 2024

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Genome-scale 'omics' data offer rich biological insights but face integration challenges due to data diversity.
  • Existing methods struggle with multi-data integration, necessitating new approaches for synergistic analysis.
  • Rough Sets offer an efficient framework for incorporating complex, diverse information into classification tasks.

Purpose of the Study:

  • To explore the utility of Rough Sets for integrating orthogonal omics data for functional gene classification.
  • To develop a method for exploiting potential synergy from combined gene expression, protein features, and Gene Ontology annotations.
  • To predict the function of unknown genes in model organisms using integrated data.

Main Methods:

  • Utilized Rough Sets to combine gene expression data, protein features, and Gene Ontology (GO) annotations.
  • Developed If-Then rules to represent biological patterns from integrated data.
  • Applied the models to predict gene functions in Arabidopsis thaliana and Schizosaccharomyces pombe.

Main Results:

  • Integrated Rough Set models achieved success rates up to 0.89, outperforming models using single data types (0.68-0.78).
  • Successfully predicted functions for numerous unknown genes, with many validated by literature or electronic annotations.
  • Found strong experimental support for predictions by analyzing cell cycle protein-protein interactions.

Conclusions:

  • Rough Set-based integration of gene expression and protein features creates robust models with synergistic power.
  • This approach effectively predicts gene function by leveraging diverse biological information.
  • The method provides a valuable tool for functional genomics and systems biology research.