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Related Concept Videos

Protein Networks02:26

Protein Networks

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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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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
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Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
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Updated: Jul 15, 2025

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

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Extending protein interaction networks using proteoforms and small molecules.

Luis Francisco Hernández Sánchez1,2, Bram Burger1,2,3,4, Rodrigo Alexander Castro Campos5

  • 1Department of Clinical Science, Mohn Center for Diabetes Precision Medicine, University of Bergen, Bergen 5020, Norway.

Bioinformatics (Oxford, England)
|September 27, 2023
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Summary
This summary is machine-generated.

Refining biological networks with detailed molecular and proteoform data reveals significant topological shifts. This improved network representation impacts the perceived importance of molecules in disease and drug discovery studies.

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Area of Science:

  • Systems Biology
  • Bioinformatics
  • Network Science

Background:

  • Biological network analysis is crucial for interpreting high-throughput biomedical data.
  • Network topology, based on interacting genes or proteins, is key to this analysis.
  • Current methods often lack detailed representations of molecules and protein variations.

Purpose of the Study:

  • To build refined biological networks using the Reactome database.
  • To incorporate small molecules, protein isoforms, and post-translational modifications.
  • To investigate the topological changes resulting from this enhanced network representation.

Main Methods:

  • Biological networks were constructed using publicly available data from the Reactome Pathway knowledgebase.
  • The study focused on refining network models by including small molecules and proteoforms (isoforms and PTMs).
  • Topological characteristics were analyzed to assess the impact of refined network representations.

Main Results:

  • Enhanced interactome modeling increased network complexity (nodes and interactions).
  • Small molecule inclusion, when contextualized to reactions, improved network connectedness and reduced isolated components.
  • Network representation refinement altered the prevalence of critical topological features like articulation points and bridges.

Conclusions:

  • Detailed biological network representations significantly impact topological analysis.
  • The perceived biological importance of molecules can change based on the level of detail in network models.
  • These findings have implications for network-based disease and druggability studies.