{"doi":"10.1002/cpz1.355","title":"Getting Started with the IDG KMC Datasets and Tools","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. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Interacting with the Pharos user interface Basic Protocol 2: Accessing the data in Harmonizome Basic Protocol 3: The ARCHS4 resource Basic Protocol 4: Making predictions about gene function with PrismExp Basic Protocol 5: Using Geneshot to illuminate knowledge about under-studied targets Basic Protocol 6: Exploring under-studied targets with TIN-X Basic Protocol 7: Interacting with the DrugCentral user interface Basic Protocol 8: Estimating Anti-SARS-CoV-2 activities with DrugCentral REDIAL-2020 Basic Protocol 9: Drug Set Enrichment Analysis using Drugmonizome Basic Protocol 10: The Drugmonizome-ML Appyter Basic Protocol 11: The Harmonizome-ML Appyter Basic Protocol 12: GWAS target illumination with TIGA Basic Protocol 13: Prioritizing kinases for lists of proteins and phosphoproteins with KEA3 Basic Protocol 14: Converting PubMed searches to drug sets with the DrugShot Appyter.","journal":"Current Protocols","year":2022,"id":271431,"datarank":0.5113436532684835,"base_score":2.5649493574615367,"endowment":2.5649493574615367,"self_citation_contribution":0.38474240361923057,"citation_network_contribution":0.12660124964925296,"self_endowment_contribution":0.38474240361923057,"citer_contribution":0.12660124964925296,"corpus_percentile":62.31144116964493,"corpus_rank":4873,"citation_count":12,"citer_count":5,"citers_with_citation_signal":4,"citers_with_endowment":4,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9539,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":372021,"name":"Jessica Binder","orcid":"0000-0003-2091-3950","position":1,"is_corresponding":false},{"id":68164,"name":"Jeremy J. Yang","orcid":"0000-0002-1476-6192","position":2,"is_corresponding":false},{"id":68163,"name":"Jayme Holmes","orcid":"0000-0003-3109-5228","position":3,"is_corresponding":false},{"id":76158,"name":"Alexander Lachmann","orcid":"0000-0002-1982-7652","position":4,"is_corresponding":false},{"id":2540,"name":"Daniel J. B. Clarke","orcid":"0000-0003-3471-7416","position":5,"is_corresponding":false},{"id":251416,"name":"Timothy Sheils","orcid":"0000-0002-9987-3738","position":6,"is_corresponding":false},{"id":251417,"name":"Keith J. Kelleher","orcid":"0000-0002-8878-1539","position":7,"is_corresponding":false},{"id":846317,"name":"Vincent T. Metzger","orcid":"0000-0002-8041-0370","position":8,"is_corresponding":false},{"id":68168,"name":"Cristian Bologa","orcid":"0000-0003-2232-4244","position":9,"is_corresponding":false},{"id":68160,"name":"Tudor I. Oprea","orcid":"0000-0002-6195-6976","position":10,"is_corresponding":false},{"id":60353,"name":"Avi Ma’ayan","orcid":"0000-0002-6904-1017","position":11,"is_corresponding":false},{"id":70327,"name":"Eryk Kropiwnicki","orcid":"0000-0003-1567-4641","position":0,"is_corresponding":true}],"reference_count":67,"raw_metadata":null,"created_at":"2026-07-19T00:27:39.717534Z","pmid":"35085427","pmcid":"PMC10789444","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}