Protein Interaction
Protein Interaction - Related Videos
14:08
Study of Protein-protein Interactions in Autophagy Research
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Cited by 3 •
2017
Presented here are two antibody-based protein-protein interaction research techniques: immunofluorescence and immunoprecipitation. These techniques are suitable for studying physical interactions between proteins for the discovery of novel components of cellular signaling pathways and for understanding protein dynamics.
11:15
Imaging Protein-protein Interactions in vivo
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Cited by 5 •
2010
This protocol describes how to image protein-protein interactions using a FRET-based proximity assay.
10:44
Fluorescence Anisotropy as a Tool to Study Protein-protein Interactions
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Cited by 37 •
2016
Protein interactions are at the heart of a cell's function. Calorimetric and spectroscopic techniques are commonly used to characterize them. Here we describe fluorescence anisotropy as a tool to study the interaction between the protein mutated in the Shwachman-Diamond Syndrome (SBDS) and the Elongation factor-like 1 GTPase (EFL1).
09:39
Mapping Dysfunctional Protein-Protein Interactions in Disease
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2025
Here, we present a protocol to enable the capture and identification of disease-specific protein-protein interactions from native cells and tissues using chemical probes and mass spectrometry. The resulting interaction datasets are analyzed through a dedicated web-based platform to reveal dynamic network dysfunctions and pathway alterations linked to disease.
07:42
In-vivo Detection of Protein-protein Interactions on Micro-patterned Surfaces
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Cited by 7 •
2010
This video shows experiments with subsequent analysis of protein-protein interactions by the use of micro-patterned surfaces. The approach offers the possibility to detect protein interactions in living cells and combines high throughput capabilities with the possibility to extract quantitative information.
FAQs
Recognition depends on matching features at the protein surfaces, including specific domains or short amino acid sequences. Hydrogen bonds, electrostatic forces, and hydrophobic effects can stabilize the association, while covalent modifications may alter the interaction. Together, these molecular features help determine which partners can bind and how protein associations regulate cellular activity.
The duration of an association influences how it contributes to cell function. Transient interactions can support regulated signaling or temporary coordination between proteins, whereas stable interactions can help maintain cellular structures or persistent molecular assemblies. Distinguishing these forms therefore helps explain whether an interaction produces a short-lived response or a lasting functional component.
Covalent modifications can influence whether complementary binding features are recognized, changing the association between proteins. This provides a mechanism for regulating interactions rather than treating them as fixed connections. At the network level, such changes can redirect signaling pathways, coordinate enzyme activity, or alter control of gene expression within a cell.
Mapping these networks shows how individual associations are connected into larger functional systems. The resulting relationships can clarify how signaling pathways are assembled, how enzymes coordinate their activities, how molecules are transported, and how gene expression is controlled. Network-level analysis therefore links molecular binding events with broader patterns of cellular organization and regulation.
Biological investigation focuses on the interacting partners, their complementary binding features, the forces supporting association, and whether each connection is transient or stable. Organizing these observations into interaction networks helps researchers relate molecular associations to cellular structures and activities. This approach is useful when the goal is to explain how coordinated protein behavior produces biological outcomes.
Disease-related disruptions can change protein associations and consequently disturb signaling, enzyme coordination, transport, or gene-expression control. Examining the affected interaction networks helps researchers identify how normal cellular regulation has been altered. These findings also support therapeutic discovery by highlighting interaction-dependent processes whose regulation may be relevant to correcting or limiting abnormal biology.