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

Drug-target network.

Muhammed A Yildirim1, Kwang-Il Goh, Michael E Cusick

  • 1Center for Cancer Systems Biology (CCSB), Harvard Medical School, 44 Binney St., Boston, Massachusetts 02115, USA.

Nature Biotechnology
|October 9, 2007
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

Network-driven discovery of repurposable drugs targeting hallmarks of aging.

Nature aging·2026
Same author

The aging genome exhibits organized vulnerability to somatic mutations.

bioRxiv : the preprint server for biology·2026
Same author

Hungary's chance to rebuild science.

Science (New York, N.Y.)·2026
Same author

Experimental assessment of AI-based interactome mapping.

Nature communications·2026
Same author

Human mobility in the metaverse mirrors patterns in the physical world.

Scientific reports·2026
Same author

A scalable approach to resolving variants of uncertain significance.

bioRxiv : the preprint server for biology·2026
Same journal

Prime editing for precise genome engineering and modulation of fungal metabolism.

Nature biotechnology·2026
Same journal

Retargeted serine integrases for one-step, precise integration of large DNA sequences in human cells.

Nature biotechnology·2026
Same journal

A retargeted recombinase for precise insertion of large DNA.

Nature biotechnology·2026
Same journal

Experiment-guided AlphaFold3 resolves measurement-consistent protein ensembles.

Nature biotechnology·2026
Same journal

Spatially resolved profiling of extracellular vesicles in tissues with Spatial-EV-seq.

Nature biotechnology·2026
Same journal

Mapping the spatial landscape of extracellular vesicles in tissues with Spatial-EV-seq.

Nature biotechnology·2026
See all related articles

This study maps drug-target relationships in the human interactome, revealing a high prevalence of follow-on drugs and a trend towards diverse targets for improved polypharmacology. Drug-target network analysis highlights differences between etiological and palliative drug strategies.

Area of Science:

  • Pharmacology
  • Systems Biology
  • Bioinformatics

Background:

  • The complex web of drug-target interactions and their links to diseases within the human protein-protein interaction network (interactome) is largely uncharacterized.
  • Understanding these relationships is crucial for drug discovery and development.

Purpose of the Study:

  • To construct and analyze a comprehensive bipartite network of drugs and their protein targets.
  • To investigate the topological properties of this network, including drug clustering and target reuse.
  • To explore the relationship between drug targets and disease-gene products within the interactome.

Main Methods:

  • Built a bipartite graph connecting US Food and Drug Administration-approved drugs with their protein targets.
  • Performed topological analyses to study network structure, drug clustering (Anatomical Therapeutic Chemical classification), and target overlap.

Related Experiment Videos

  • Measured shortest path distances between drug targets and disease-gene products in the human interactome.

    • Main Results:

    • The drug-target network forms a large, interconnected component with significant clustering of similar drug types.
    • An overabundance of 'follow-on' drugs (targeting already-targeted proteins) was quantitatively observed.
    • Inclusion of investigational drugs showed a trend towards functionally diverse targets, enhancing polypharmacology.
    • Significant distance variations were found between targets of etiological and palliative drugs.

    Conclusions:

    • The human drug-target interactome exhibits specific topological features, including target redundancy and increasing target diversity in newer drug development.
    • Network analysis provides insights into drug action mechanisms and rational drug design strategies.
    • Distinguishing between etiological and palliative drug targets through network proximity is feasible.