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 Experiment Videos

Discovering protein-protein interactions.

See-Kiong Ng1, Soon-Heng Tan

  • 1Knowledge Discovery Department, Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore. skng@i2r.a-star.edu.sg

Journal of Bioinformatics and Computational Biology
|August 4, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Towards Accurate and Reliable ICU Outcome Prediction: A Multimodal Learning Framework Based on Belief Function Theory using Structured EHRs and Free-Text Notes.

Journal of healthcare informatics research·2026
Same author

Evaluating Large Language Models on Named Entity Recognition.

IEEE transactions on neural networks and learning systems·2026
Same author

Principled Multimodal Representation Learning.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

MoEGAD: A Mixture-of-Experts Framework With Pseudo-Anomaly Generation for Graph-Level Anomaly Detection.

IEEE transactions on pattern analysis and machine intelligence·2025
Same author

Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities.

Journal of medical Internet research·2025
Same author

Ensemble positive unlabeled learning for disease gene identification.

PloS one·2014
Same journal

CNV-ECOD: A copy number variation detection method based on ECOD algorithm using next-generation sequencing data.

Journal of bioinformatics and computational biology·2026
Same journal

ReinVar: A model-free paradigm-based reinforcement learning approach to detect copy number variation.

Journal of bioinformatics and computational biology·2026
Same journal

When pipelines run but coordinates fail: A simple spatial specificity check for false locality in post-GWAS analysis.

Journal of bioinformatics and computational biology·2026
Same journal

Comparative benchmarking of template-based, evolutionary-diffusion, and generative language models for IsPETase structure prediction.

Journal of bioinformatics and computational biology·2026
Same journal

Trap spaces as labelled ideals of SCC posets: A structural-functional theory of reachability in asynchronous boolean networks.

Journal of bioinformatics and computational biology·2026
Same journal

Erratum - DDINet: Drug-drug interaction prediction network based on multi-molecular fingerprint features and multi-head attention centered weighted autoencoder.

Journal of bioinformatics and computational biology·2026
See all related articles

Understanding biological processes requires knowing how genes and proteins interact. This tutorial overviews high-throughput experimental and computational methods for discovering these crucial protein-protein interactions.

Area of Science:

  • Genomics and Proteomics
  • Systems Biology
  • Bioinformatics

Background:

  • Genomics and proteomics have identified numerous genes and proteins.
  • Understanding biological processes necessitates knowledge of gene and protein functions.
  • Protein interaction networks are central to major biological processes.

Purpose of the Study:

  • To provide an overview of current high-throughput methods for discovering protein-protein interactions.
  • To cover both experimental and computational approaches.
  • To facilitate a comprehensive understanding of protein-protein interactions.

Main Methods:

  • High-throughput experimental techniques for protein-protein interaction discovery.
  • Computational approaches for predicting and analyzing protein-protein interactions.

Related Experiment Videos

  • Review of established and emerging methodologies in the field.

    • Main Results:

    • Identification of various experimental methods for mapping protein interactions.
    • Exploration of computational strategies for inferring interaction networks.
    • Synthesis of diverse approaches for studying the interactome.

    Conclusions:

    • A comprehensive understanding of protein-protein interactions is vital for deciphering biological systems.
    • Both experimental and computational methods are essential for mapping the interactome.
    • This tutorial serves as a guide to current techniques in protein interaction discovery.