Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Protein–protein interaction

Protein–protein interactions (PPIs) are physical contacts of high specificity established between two or more protein molecules as a result of biochemical events steered by interactions that include electrostatic forces, hydrogen bonding and the hydrophobic effect. Many are physical contacts with molecular associations between chains that occur in a cell…

Works, Examples & Structure

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Protein–protein interaction. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Examples

Types

Structure

Properties of the interface

Regulation

Experimental methods

Computational methods

Databases

Interaction networks

As therapeutic targets

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.

Map overview Semantic statistics

Protein–protein interaction

Nodes175
Edges174
Triples123
Avg. degree1.99
Density0.011429
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Protein–protein interaction

Top relations

related to Databases · 24
Protein–protein interaction → BIND, BioGRID, Biological General Repository, Biomolecular Interaction Network Database, Database, DIP, Examples, HPRD, Human Protein Reference Database, IntAct Molecular Interaction Database, Interacting Proteins, Interaction Datasets, Large, MINT, MIPS Mammalian Protein, MIPS Protein Interaction Resource, MIPS-MPact, MIPS-MPPI, Molecular Interactions Database, PPIs
has method · 23
Protein–protein interaction → Currently, Diverse, In, LUMIER, Many, Membrane, Natural Language Processing, NLP, Of, Other, PPI, PPIs, Prediction, Publicly, Saccharomyces, Schizophrenia-associated, Some, Such, Text, The
related to Nucleic acid programmable protein array (NAPPA) · 16
Protein–protein interaction → Anti-GST, APTES, Biotinylated, BSA, By, DNA, GST, HA, LaBaer, New, RRL, The, They, This, Thus, To
related to As therapeutic targets · 9
Protein–protein interaction → Amit Jaiswal, Arkin, FDA-approved, In, Modulation, Nevertheless, PPI, PPIs, Several
related to Affinity purification coupled to mass spectrometry · 8
Protein–protein interaction → Affinity, Bertrand Seraphin, Furthermore, Matthias Mann, One, PPIs, SILAC, This
related to Electron transfer proteins · 8
Protein–protein interaction → After, Arg, Asp, Examples, In, More, P450, These
related to Signed interaction networks · 8
Protein–protein interaction → Although, Conversely, However, PPI, Protein, Signed, Such, Vinayagam
related to Examples · 6
Protein–protein interaction → CCR5-gp120, HIV, IIb/IIIa, Inhibitors, Tirofiban, VenetoclaxLifitegrastSotorasibAdagrasib
related to External links · 5
Protein–protein interaction → Modulators, PPI, Protein, Protein Interaction DatabasesLibrary, Protein Interactions
related to Types · 4
Protein–protein interaction → Another, In, PPIs, To

Important terminology Word statistics

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

Important terminology

proteins protein interactions interaction ppis methods molecular two many ppi yeast interacting cell one using gene prediction databases networks system

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
His3instance ofThe Y2H is based on the functional reconstitution of the yeast transcription factor Gal4 and subsequent activation of a selective reporter0.80text
Genomic Contextinstance ofsome of the interactions in the STRING database are only predicted by computational methods0.80text
not experimentally verifiedinstance ofsome of the interactions in the STRING database are only predicted by computational methods0.80text
Jactive modulesinstance ofThere are some methods0.80text
MoBaSinstance ofThere are some methods0.80text
yeast two-hybrid screens or 'affinity purificationinstance ofprotein interaction networks are often constructed as a result of lab experiments0.80text
subsequent mass spectrometry techniquesinstance ofprotein interaction networks are often constructed as a result of lab experiments0.80text
allosteric sitesinstance ofSeveral properties of PPI0.80text
hotspotsinstance ofSeveral properties of PPI0.80text
have been incorporated into drug-design strategiesinstance ofSeveral properties of PPI0.80text
Protein–protein interactionhas methodDiverse0.60section
Protein–protein interactionhas methodPPIs0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.