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Interactome: Works & Art

In molecular biology, an interactome is the whole set of molecular interactions in a particular cell. The term specifically refers to physical interactions among molecules (such as those among proteins, also known as protein–protein interactions (PPIs); or between small molecules and proteins.) but can also describe sets of indirect interactions among…

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Interactome topic overview

The analysis highlights Works and Art as prominent areas in the source structure around Interactome.

Related topics
87
Source areas
13
Connected nodes
100
Extracted relationships
148
Concept neighborhoods
33
Bridge connections
100

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Studied interactomes · 27 topics
Computational methods to study interactomes · 18 topics
Molecular interaction networks · 8 topics
Overview · 8 topics
Evolution · 4 topics
Genetic interaction networks · 4 topics
Interactome web servers · 4 topics
Size · 4 topics
Interactomics · 3 topics
Network properties · 3 topics
Experimental methods to map interactomes · 2 topics
Interactome databases · 1 topics
Interactome visualization tools · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Molecular interaction networks

Size

Genetic interaction networks

Interactomics

Experimental methods to map interactomes

Computational methods to study interactomes

Studied interactomes

Network properties

Evolution

Interactome web servers

Interactome visualization tools

Interactome databases

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Interactome connects Entity context

The extracted context around Interactome shows recurring relationship patterns in the source. For example, Interactome → As, Brassica, Field, Homo, Human, Interactomes, Maize, Oryza, Poplar, Populus, PPIs, Rice, SARS-CoV-2, Solanum, While, Xanthomonas, Zea Another extracted example is Interactome → Affinity, Both, First, However, HTP, Once, PPI, PPIs, Second, Such, The, While, Y2H, Yeast. Use these groups to spot repeated connection types before inspecting the individual relationships.

Interactome

Top relations

related to Predicted interactomes · 17
Interactome → As, Brassica, Field, Homo, Human, Interactomes, Maize, Oryza, Poplar, Populus, PPIs, Rice, SARS-CoV-2, Solanum, While, Xanthomonas, Zea
has method · 14
Interactome → Affinity, Both, First, However, HTP, Once, PPI, PPIs, Second, Such, The, While, Y2H, Yeast
related to Molecular interaction networks · 14
Interactome → Another, DNA, Even, For, In, Molecular, Most, Neighbors, PIN, PPI, Similarly, Sirt, Sirt-1, Whenever
related to Bacterial interactomes · 10
Interactome → Among, AP/MS, B2H, However, In, Mycoplasma, Relatively, The, The Mycobacterium, Y2H
related to Interactome databases · 9
Interactome → Archived, BioGRID, Calderone, IntAct, Nature Methods, PMID, S2CID, The Molecular Interaction DatabaseInteractome, Wayback Machine
related to Predicting PPIs · 9
Interactome → Bacillus, Here, However, In, Nevertheless, Other, PPIs, Some, Using
related to Genetic interaction networks · 8
Interactome → For, From, Genes, In, Some, Such, The, Using
related to Hubs · 7
Interactome → AP/MS, Consistent, Han, Highly, In, Note, Party
related to Protein function prediction · 7
Interactome → Although, For, Protein, The, This, Thus, YbeB
related to Eukaryotic interactomes · 6
Interactome → HTP, Saccharomyces, Schizosaccharomyces, Species, There, While

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

interactions proteins protein interactomes interaction networks network methods genes may among study also using yeast hubs molecular functional data used

Interactome relationships Subject–Predicate–Object triples

TTTA extracted 148 structured relationships around Interactome. Examples in this analysis include Interactome → is a → whole set of molecular interactions in a particular cell and Interactome → is a → network involving Sirt-1 and its directly interacting proteins where as second order interactome illustrates interactions up to second order of neighbors. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Interactomeis awhole set of molecular interactions in a particular cell0.90text
Interactomeis anetwork involving Sirt-1 and its directly interacting proteins where as second order interactome illustrates interactions up to second order of neighbors0.90text
Interactomeis aprotein0.90text
neural networks or food websinstance ofthey should not be confused with other networks0.80text
gene conservationinstance ofFrom this model genetic interactions can be observed at multiple scales which will assist in the study of concepts0.80text
cellular colocalizationinstance ofthereby creating unbiased complete networks of interaction with many mistakes.Some methods use machine learning to distinguish how interacting protein pairs differ from non-inte…0.80text
gene co-expressioninstance ofthereby creating unbiased complete networks of interaction with many mistakes.Some methods use machine learning to distinguish how interacting protein pairs differ from non-inte…0.80text
how closely located on a DNA are the genes that encode the two proteinsinstance ofthereby creating unbiased complete networks of interaction with many mistakes.Some methods use machine learning to distinguish how interacting protein pairs differ from non-inte…0.80text
and so oninstance ofthereby creating unbiased complete networks of interaction with many mistakes.Some methods use machine learning to distinguish how interacting protein pairs differ from non-inte…0.80text
protein complexesinstance ofParty hubs also connect proteins within functional modules0.80text
Interactomehas methodThe0.60section
Interactomehas methodPPI0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Interactome bring nearby vocabulary together. In this analysis, examples include Network, Interactions and Protein. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Interactome
    • Network
    • Interactions
    • Protein
    • Proteins
    • Interaction
    • Yeast
    • Among
    • Molecular
    • Properties
    • Genes
    • Methods
    • Networks
  • interactome
    • Network
    • Interactions
    • Protein
    • Proteins
    • Interaction
    • Yeast
    • Among
    • Molecular
    • Properties
    • Genes
    • Methods
    • Networks
  • molecular biology
    • Cell
    • Interactomics
    • Molecules
    • Networks
    • Molecular
    • Ppis
    • Y2h
    • Experimental
    • Function
    • Predicted
    • Size
    • Also
  • protein–protein interactions
    • Protein
    • Proteins
    • Interactome
    • Interaction
    • Network
    • Yeast
    • Among
    • Interactomes
    • Networks
    • May
    • Found
    • Gene
  • genetic interactions
    • Study
    • Protein
    • Proteins
    • Ppis
    • Interactome
    • Molecules
    • Size
    • Yeast
    • Among
    • Interactomes
    • May
    • Network
  • gene regulatory networks
    • Genes
    • Yeast
    • Protein
    • Study
    • Many
    • Properties
    • Network
    • Genetic
    • Predict
    • Size
    • Functional
    • Interactions
  • budding yeast
    • Interactions
    • Y2h
    • Gene
    • Two
    • Interactome
    • Protein
    • Among
    • Interaction
    • Proteins
    • Network
    • Biology
    • Ppis
  • yeast two hybrid
    • Interactions
    • Found
    • Y2h
    • Gene
    • Two
    • Yeast
    • Interactome
    • Protein
    • Among
    • Interaction
    • Proteins
    • Network

Connections between topic areas Semantic bridges

For Interactome, one of the stronger structural bridges in this analysis connects Interactome with Studied interactomes. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
InteractomeStudied interactomes · splits 73 ⟂ 28
InteractomeComputational methods to study interactomes · splits 82 ⟂ 19
InteractomeOverview · splits 92 ⟂ 9
InteractomeMolecular interaction networks · splits 92 ⟂ 9
InteractomeSize · splits 96 ⟂ 5
InteractomeGenetic interaction networks · splits 96 ⟂ 5
InteractomeEvolution · splits 96 ⟂ 5
InteractomeInteractome web servers · splits 96 ⟂ 5
InteractomeInteractomics · splits 97 ⟂ 4
InteractomeNetwork properties · splits 97 ⟂ 4
InteractomeExperimental methods to map interactomes · splits 98 ⟂ 3

Map overview Semantic statistics

Interactome

Nodes101
Edges100
Triples148
Avg. degree1.98
Density0.019802
Components1

Source & methodology

TTTA analyzes the structure around Interactome to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Interactome · EN edition · Analysis: TopicsToTalkAbout

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