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Proteomics: History, Applications & Research

Proteomics is the large-scale study of proteins. The proteome is the entire set of proteins produced or modified by an organism or system. Proteomics is an interdisciplinary field that covers the exploration of proteomes from the overall level of protein composition, structure, and activity. While the scale and complexity of the proteome is formidable…

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Proteomics topic overview

The analysis highlights History, Applications and Research as prominent areas in the source structure around Proteomics.

Related topics
152
Source areas
12
Connected nodes
164
Extracted relationships
161
Concept neighborhoods
46
Bridge connections
164

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.

Overview · 40 topics
Practical applications · 29 topics
Methods of studying proteins · 17 topics
Emerging trends · 13 topics
Bioinformatics for proteomics (proteome informatics) · 11 topics
Protein databases · 10 topics
Complexity of the problem · 9 topics
Limitations of genomics and proteomics studies · 9 topics
Journals · 8 topics
History and etymology · 3 topics
Research centers · 2 topics
Post-translational modifications · 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

History and etymology

Complexity of the problem

Post-translational modifications

Limitations of genomics and proteomics studies

Methods of studying proteins

Practical applications

Bioinformatics for proteomics (proteome informatics)

Emerging trends

Journals

Protein databases

Research centers

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 Proteomics connects Entity context

The extracted context around Proteomics shows recurring relationship patterns in the source. For example, Proteomics → Biotechnology Information, Human Protein AtlasHuman Protein, NCBI, PDB, PeptideAtlasProtein Data Bank, PIR, PRIDE, Protein Information Resource, Proteomics Identifications Database, Proteopedia, ProtUniProt, Reference DatabaseNational Center, The Another extracted example is Proteomics → Again, All, As, Capturing, Characterizing, Due, However, It, Secondly, Temporal, The, To. Use these groups to spot repeated connection types before inspecting the individual relationships.

Proteomics

Top relations

related to Protein databases · 13
Proteomics → Biotechnology Information, Human Protein AtlasHuman Protein, NCBI, PDB, PeptideAtlasProtein Data Bank, PIR, PRIDE, Protein Information Resource, Proteomics Identifications Database, Proteopedia, ProtUniProt, Reference DatabaseNational Center, The
related to Human plasma proteome · 12
Proteomics → Again, All, As, Capturing, Characterizing, Due, However, It, Secondly, Temporal, The, To
related to Journals · 11
Proteomics → ACS, ASBMB, Cellular Proteomics, Elsevier, Journal, Molecular, Note, Numerous, Proteome Research, Some, Wiley
related to Systems biology · 10
Proteomics → Advances, Another, As, Biological, In, Similar, The Cancer Genome Atlas, The Cancer Proteome Atlas, Therefore, Transcriptional
related to Emerging trends · 9
Proteomics → Another, DNA, For, Further, Methods, Obtaining, PTM, Selecting, The
related to Protein Detection via Bioorthogonal Chemistry · 8
Proteomics → AHA, Azidohomoalanine, Met-t-RNA, Recent, Specific, The, This, Unnatural
related to Bioinformatics for proteomics (proteome informatics) · 6
Proteomics → ExPASy, For, It, Much, The, Using
related to Expression proteomics · 6
Proteomics → Expression, If, It, PAGE, Proteins, There
related to history · 6
Proteomics → Escherichia, It, Macquarie University, Marc Wilkins, Proteome, The
related to Interaction proteomics and protein networks · 6
Proteomics → Interaction, Most, Other, Several, SPR, While

Important terminology

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

Important terminology

proteins protein analysis proteome mass methods used modifications spectrometry may using many antibodies post-translational proteomic cell structure study technologies also

Proteomics relationships Subject–Predicate–Object triples

TTTA extracted 161 structured relationships around Proteomics. Examples in this analysis include Proteomics → is a → large-scale study of proteins and Proteomics → is a → interdisciplinary field that covers the exploration of proteomes from the overall level of protein composition. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Proteomicsis alarge-scale study of proteins0.90text
Proteomicsis ainterdisciplinary field that covers the exploration of proteomes from the overall level of protein composition0.90text
Proteomicsis anext step in the study of biological systems0.90text
Proteomicsis aanalysis of protein interactions from scales of binary interactions to proteome- or network-wide0.90text
the formation of structural fibers of muscle tissueinstance ofwith many functions0.80text
enzymatic digestion of foodinstance ofwith many functions0.80text
or synthesisinstance ofwith many functions0.80text
replication of DNAinstance ofwith many functions0.80text
phosphoproteomicsinstance ofMethods0.80text
glycoproteomics are used to study post-translational modifications.many transcripts give rise to more than one proteininstance ofMethods0.80text
through alternative splicing or alternative post-translational modifications.many proteins form complexes with other proteins or RNA moleculesinstance ofMethods0.80text
and only function in the presence of these other molecules.protein degradation rate plays an important role in protein content.Reproducibilityinstance ofMethods0.80text

Related concept clusters Concept neighborhoods

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

  • Proteomics
    • Protein
    • Mass
    • Methods
    • Study
    • Analysis
    • Proteins
    • Spectrometry
    • Identification
    • Technologies
    • Proteome
    • Using
    • Biomarkers
  • proteomics
    • Protein
    • Mass
    • Methods
    • Study
    • Analysis
    • Proteins
    • Spectrometry
    • Identification
    • Technologies
    • Proteome
    • Using
    • Biomarkers
  • proteins
    • May
    • Protein
    • Modifications
    • Proteomics
    • Identify
    • Methods
    • Proteome
    • Many
    • Proteomic
    • Used
    • Also
    • Post-translational
  • protein purification
    • Analysis
    • Proteomics
    • Proteins
    • Methods
    • Interactions
    • Post-translational
    • Modifications
    • Function
    • Mass
    • One
    • Biological
    • Proteome
  • mass spectrometry
    • Spectrometry
    • Technologies
    • Methods
    • Proteomics
    • Use
    • Using
    • Used
    • Samples
    • Antibodies
    • Identification
    • Protein
    • Proteins
  • antibodies
    • Detection
    • Specific
    • Example
    • Also
    • Mass
    • Methods
    • Spectrometry
    • Modifications
    • Proteins
    • Biomarkers
    • Blood
    • Sample
  • bottom-up proteomics
    • Protein
    • Mass
    • Methods
    • Study
    • Analysis
    • Proteins
    • Spectrometry
    • Identification
    • Technologies
    • Proteome
    • Using
    • Biomarkers
  • quantitative proteomics
    • Protein
    • Mass
    • Methods
    • Study
    • Analysis
    • Proteins
    • Spectrometry
    • Identification
    • Technologies
    • Proteome
    • Using
    • Biomarkers

Connections between topic areas Semantic bridges

For Proteomics, one of the stronger structural bridges in this analysis connects Proteomics with Overview. 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
Proteomics — Overview · splits 124 ⟂ 41
Proteomics — Practical applications · splits 135 ⟂ 30
Proteomics — Methods of studying proteins · splits 147 ⟂ 18
Proteomics — Emerging trends · splits 151 ⟂ 14
Proteomics — Bioinformatics for proteomics (proteome informatics) · splits 153 ⟂ 12
Proteomics — Protein databases · splits 154 ⟂ 11
Proteomics — Complexity of the problem · splits 155 ⟂ 10
Proteomics — Limitations of genomics and proteomics studies · splits 155 ⟂ 10
Proteomics — Journals · splits 156 ⟂ 9
Proteomics — History and etymology · splits 161 ⟂ 4
Proteomics — Research centers · splits 162 ⟂ 3

Map overview Semantic statistics

Proteomics

Nodes165
Edges164
Triples161
Avg. degree1.99
Density0.012121
Components1

Source & methodology

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

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

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