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

A lock-and-key model for protein-protein interactions.

Julie L Morrison1, Rainer Breitling, Desmond J Higham

  • 1Bioinformatics Research Centre, Department of Computing Science, University of Glasgow G12 8QQ, UK. jmorriso@dcs.gla.ac.uk

Bioinformatics (Oxford, England)
|June 22, 2006
PubMed
Summary

We introduce a novel graph model for protein-protein interactions, revealing shared biological motifs and identifying potential errors in interaction data. This lock-and-key approach enhances understanding of protein networks.

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

Graph neural networks can predict ketosynthase substrate specificity.

Scientific reports·2026
Same author

Exploring the biotechnological potential of terrestrial hot spring microbiomes for CO<sub>2</sub> utilisation.

Environmental microbiome·2026
Same author

Beyond nature: in vivo production of natural product analogues through programmed biosynthetic pathways.

Current opinion in biotechnology·2026
Same author

Synteny plot quality control with SyntenyQC.

Bioinformatics (Oxford, England)·2025
Same author

Co-Design of a Registry-Based Tailored Follow-up Service Intervention for People Living With Stroke: A Multiple Method Consensus Approach.

Health expectations : an international journal of public participation in health care and health policy·2025
Same author

Engineering microbiomes for natural product discovery and production.

Natural product reports·2025

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Bioinformatics

Background:

  • Protein-protein interaction networks are crucial post-genomic data for understanding biological systems.
  • These networks offer global proteome structure and specific interaction details.
  • Current data analysis can be enhanced to identify shared motifs and interaction inaccuracies.

Purpose of the Study:

  • To propose a physical model for protein interactions based on complementary binding domains.
  • To develop a graph-theoretical algorithm for identifying bipartite subgraphs in protein-protein interaction networks.
  • To extract higher-level information about protein interaction motifs and data quality.

Main Methods:

  • A novel graph model based on a lock-and-key principle for protein binding domains.

Related Experiment Videos

  • A graph-theoretical algorithm to detect bipartite subgraphs in protein-protein interaction data.
  • Testing the algorithm on synthetic and experimental data (yeast two-hybrid) from model organisms.

    • Main Results:

    • The model successfully explains interactions via complementary binding domains.
    • The algorithm accurately identifies domain information for proteins under specific assumptions.
    • Analysis of experimental data revealed biologically relevant interaction motifs, including novel ones like SH3 domains in yeast.

    Conclusions:

    • The proposed model and algorithm provide a powerful tool for analyzing protein-protein interaction networks.
    • It enables the identification of shared biological motifs and potential errors in interaction data.
    • This approach advances the understanding of molecular interactions and network organization.