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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...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Assembly of Complex Microtubule Structures01:32

Assembly of Complex Microtubule Structures

Complex microtubule structures are present in resting cells and in dividing cells. In resting cells, they are responsible for maintaining the cellular architecture, tracks for intracellular transport, positioning of organelles, assembly of cilia and flagella. They mediate the bipolar spindle assembly for chromosomal segregation and positioning of the cell division plate in dividing cells. The formation of microtubule complex structures depends on the cell type, cell stage, and cell function.

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Related Experiment Video

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Integrative approaches for finding modular structure in biological networks.

Koyel Mitra1, Anne-Ruxandra Carvunis, Sanath Kumar Ramesh

  • 11] Department of Medicine, University of California San Diego, La Jolla, California 92093, USA. [2].

Nature Reviews. Genetics
|September 19, 2013
PubMed
Summary

Systems biology aims to understand cell architecture by integrating molecular networks. This study classifies and reviews bioinformatics approaches for identifying functional modules within these complex biological networks.

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Area of Science:

  • * Cellular and Molecular Biology
  • * Bioinformatics and Computational Biology

Background:

  • * Systems biology seeks to map the cell's molecular interaction networks.
  • * Large-scale data generation enables comprehensive network analysis.
  • * Identifying functional 'modules' within networks is crucial for understanding biological processes.

Purpose of the Study:

  • * To classify integrative bioinformatics approaches for network analysis.
  • * To describe the underlying bioinformatic principles of these methods.
  • * To review the applications of module identification techniques.

Main Methods:

  • * Classification of integrative network analysis strategies.
  • * Review of bioinformatic principles for module discovery.
  • * Survey of current applications in biological research.

Main Results:

  • * Four broad categories of integrative approaches were identified.
  • * Key bioinformatic principles for module identification were detailed.
  • * Diverse applications of these methods were highlighted.

Conclusions:

  • * Integrative bioinformatics approaches are essential for dissecting cellular complexity.
  • * Understanding these methods facilitates the identification of functional biological modules.
  • * This review provides a framework for future research in systems biology.