Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

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 polypeptide...
Protein Networks02:26

Protein Networks

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,...
Protein Networks02:26

Protein Networks

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,...
Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...
Human Genetics01:28

Human Genetics

Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Ensuring Fairness in Detecting Mild Cognitive Impairment with MRI.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2025
Same author

Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling.

BioData mining·2025
Same author

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.

Cell genomics·2025
Same author

Erratum: A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection.

Patterns (New York, N.Y.)·2025
Same author

AI as an accelerator for defining new problems that transcends boundaries.

BioData mining·2025
Same author

Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.

The spine journal : official journal of the North American Spine Society·2025
Same journal

Unveiling the post translational modification code in Alzheimer's pathogenesis: crosstalk between phosphorylation and acetylation.

Expert review of proteomics·2026
Same journal

Plasma proteome profiles of standard-risk and high-risk childhood acute lymphoblastic leukemia.

Expert review of proteomics·2026
Same journal

Potential proteomic biomarkers for monitoring clinical studies in Duchenne/Becker muscular dystrophy.

Expert review of proteomics·2026
Same journal

Proteomics-based approaches to neutrophil biology.

Expert review of proteomics·2026
Same journal

Deciphering mitochondrial metabolic vulnerabilities in ovarian clear cell carcinoma with mass spectrometry-based clinical proteomics.

Expert review of proteomics·2026
Same journal

The proteomic origin of the genetic code.

Expert review of proteomics·2026
See all related articles

Related Experiment Video

Updated: Jun 18, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells

Published on: March 3, 2015

Role for protein-protein interaction databases in human genetics.

Kristine A Pattin1, Jason H Moore

  • 1Computational Genetics Laboratory and Department of Genetics, Dartmouth Medical School, Lebanon, NH, USA. kristine.a.pattin@dartmouth.edu

Expert Review of Proteomics
|November 26, 2009
PubMed
Summary
This summary is machine-generated.

Protein-protein interactions are crucial for understanding human diseases. Integrating genomic and proteomic data from public databases enhances genetic studies and disease insights.

More Related Videos

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Related Experiment Videos

Last Updated: Jun 18, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay (PCA) in Living Cells

Published on: March 3, 2015

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Area of Science:

  • Biomedical research
  • Genomics
  • Proteomics

Background:

  • Protein-protein interactions (PPIs) are vital for understanding human diseases systemically.
  • Publicly available protein-interaction databases offer valuable resources for researchers.
  • Advances in proteomics are enhancing our understanding of complex biological networks.

Purpose of the Study:

  • To highlight the significance of PPIs in human genetics and genetic epidemiology.
  • To explore the utility of protein-interaction databases in biomedical research.
  • To discuss the integration of proteomic data with genomic data for disease research.

Main Methods:

  • Review of current literature on protein-protein interactions.
  • Analysis of publicly available protein-interaction databases.
  • Discussion of methodologies for integrating genomic and proteomic data.

Main Results:

  • PPIs represent strong functional relationships between genes.
  • Combining genomic and proteomic data offers deeper insights into common human diseases.
  • Protein-interaction databases facilitate genome-wide genetic studies.

Conclusions:

  • Protein-protein interaction data is essential for advancing human disease research.
  • Leveraging public databases and integrating diverse data types is key to future discoveries.
  • This approach promises a more comprehensive understanding of genetic influences on disease.