Getting Started with the IDG KMC Datasets and Tools

Eryk Kropiwnicki, Jessica L. Binder, Jeremy J. Yang, Jayme Holmes, Alexander Lachmann, Daniel J.B. Clarke, Timothy Sheils, Keith J. Kelleher, Vincent T. Metzger, Cristian G. Bologa, Tudor I. Oprea, Avi Ma'ayan

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The Illuminating the Druggable Genome (IDG) consortium is a National Institutes of Health (NIH) Common Fund program designed to enhance our knowledge of under-studied proteins, more specifically, proteins unannotated within the three most commonly drug-targeted protein families: G-protein coupled receptors, ion channels, and protein kinases. Since 2014, the IDG Knowledge Management Center (IDG-KMC) has generated several open-access datasets and resources that jointly serve as a highly translational machine-learning-ready knowledgebase focused on human protein-coding genes and their products. The goal of the IDG-KMC is to develop comprehensive integrated knowledge for the druggable genome to illuminate the uncharacterized or poorly annotated portion of the druggable genome. The tools derived from the IDG-KMC provide either user-friendly visualizations or ways to impute the knowledge about potential targets using machine learning strategies. In the following protocols, we describe how to use each web-based tool to accelerate illumination in under-studied proteins.

Original languageEnglish
Article numbere355
JournalCurrent Protocols
Volume2
Issue number1
DOIs
StatePublished - Jan 2022

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