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Related Concept Videos

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...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
Prokaryotic Gene Structure and Organization01:28

Prokaryotic Gene Structure and Organization

Prokaryotic genomes exhibit a streamlined organization of coding and non-coding regions essential for gene expression and protein synthesis. While coding regions contain the genetic instructions for proteins or functional RNAs, non-coding regions regulate the precise transcription and translation of these genes.Coding Regions: Proteins and RNAsThe primary coding regions, known as structural genes, include sequences transcribed into messenger RNA (mRNA) and ultimately translated into...
Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...

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Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
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Prior knowledge based mining functional modules from Yeast PPI networks with gene ontology.

Liping Jing1, Michael K Ng

  • 1School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, PR China. lpjinghk@gmail.com

BMC Bioinformatics
|December 22, 2010
PubMed
Summary

This study introduces a novel strategy for identifying functional modules in protein-protein interaction (PPI) networks using prior knowledge from Gene Ontology. This approach enhances the accuracy and scalability of analyzing complex biological interaction data.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Existing algorithms for identifying functional modules in protein-protein interaction (PPI) networks face challenges with large-scale, incomplete interaction data.
  • Novel computational techniques are needed for accurate and scalable analysis of diverse protein interaction datasets.

Purpose of the Study:

  • To present a prior knowledge-based mining strategy for identifying functional modules in PPI networks.
  • To leverage Gene Ontology (GO) to improve the accuracy of functional module detection.

Main Methods:

  • Encoding functional pairs derived from Gene Ontology into existing PPI networks.
  • Utilizing these functional pairs as constraints to guide existing functional module identification algorithms.
  • Evaluating identified modules using topology-based modularity metrics and Multiple Instance Learning (MIP) complex annotation.

Main Results:

  • The proposed strategy effectively integrates prior functional knowledge into PPI network analysis.
  • Functional pairs from Gene Ontology significantly improve the grouping of functionally related gene products into modules.
  • The two developed approaches demonstrate improved functional module identification.

Conclusions:

  • Prior knowledge-based learning methods outperform existing algorithms for functional module identification in Yeast PPI networks.
  • Integrating Gene Ontology information enhances the performance of PPI network analysis.
  • The study validates the effectiveness of the proposed computational techniques.