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Related Experiment Video

Updated: Oct 5, 2025

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Getting Started with the IDG KMC Datasets and Tools.

Eryk Kropiwnicki1, Jessica L Binder2, Jeremy J Yang2

  • 1Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai, New York, New York.

Current Protocols
|January 27, 2022
PubMed
Summary
This summary is machine-generated.

The Illuminating the Druggable Genome (IDG) consortium provides open-access data and tools to explore under-studied proteins. These resources accelerate drug discovery by illuminating poorly annotated targets within key protein families.

Keywords:
bioinformaticsdata visualizationdisease ontologydrug discoverydrug targetsdruggable genomeweb applications

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Area of Science:

  • Genomics
  • Proteomics
  • Bioinformatics

Background:

  • The Illuminating the Druggable Genome (IDG) consortium focuses on under-studied proteins within G-protein coupled receptors, ion channels, and protein kinases.
  • The IDG Knowledge Management Center (IDG-KMC) has developed open-access datasets and resources since 2014.
  • These resources aim to create a machine-learning-ready knowledgebase for human protein-coding genes.

Purpose of the Study:

  • To enhance knowledge of under-studied proteins within the druggable genome.
  • To provide user-friendly tools and machine learning strategies for target identification.
  • To accelerate the illumination of uncharacterized or poorly annotated protein targets.

Main Methods:

  • Utilizing web-based tools provided by the IDG-KMC, including Pharos, Harmonizome, ARCHS4, PrismExp, Geneshot, TIN-X, and DrugCentral.
  • Applying machine learning strategies for knowledge imputation and target prioritization.
  • Leveraging specific protocols for data access, visualization, and analysis (e.g., Drug Set Enrichment Analysis, GWAS target illumination).

Main Results:

  • The IDG-KMC has generated a comprehensive, integrated knowledge base for the druggable genome.
  • Multiple web-based tools are available for exploring and analyzing under-studied proteins.
  • Protocols are detailed for using these tools to accelerate research in specific areas like kinase prioritization and anti-SARS-CoV-2 activity estimation.

Conclusions:

  • The IDG-KMC resources effectively illuminate under-studied proteins, aiding drug discovery efforts.
  • The provided tools and datasets facilitate the identification and characterization of novel drug targets.
  • These integrated knowledge resources are crucial for advancing research on the druggable genome.