| Literature DB >> 29472638 |
Tudor I Oprea1,2,3,4, Cristian G Bologa1, Søren Brunak4, Allen Campbell5, Gregory N Gan2, Anna Gaulton6, Shawn M Gomez7,8, Rajarshi Guha9, Anne Hersey6, Jayme Holmes1, Ajit Jadhav9, Lars Juhl Jensen4, Gary L Johnson8, Anneli Karlson6,10, Andrew R Leach6, Avi Ma'ayan11, Anna Malovannaya12, Subramani Mani1, Stephen L Mathias1, Michael T McManus13, Terrence F Meehan6, Christian von Mering14, Daniel Muthas15, Dac-Trung Nguyen9, John P Overington6,16, George Papadatos6,17, Jun Qin12, Christian Reich18, Bryan L Roth8, Stephan C Schürer19, Anton Simeonov9, Larry A Sklar2,20,21, Noel Southall9, Susumu Tomita22, Ilinca Tudose6,23, Oleg Ursu1, Dušica Vidovic19, Anna Waller20, David Westergaard4, Jeremy J Yang1, Gergely Zahoránszky-Köhalmi1,24.
Abstract
A large proportion of biomedical research and the development of therapeutics is focused on a small fraction of the human genome. In a strategic effort to map the knowledge gaps around proteins encoded by the human genome and to promote the exploration of currently understudied, but potentially druggable, proteins, the US National Institutes of Health launched the Illuminating the Druggable Genome (IDG) initiative in 2014. In this article, we discuss how the systematic collection and processing of a wide array of genomic, proteomic, chemical and disease-related resource data by the IDG Knowledge Management Center have enabled the development of evidence-based criteria for tracking the target development level (TDL) of human proteins, which indicates a substantial knowledge deficit for approximately one out of three proteins in the human proteome. We then present spotlights on the TDL categories as well as key drug target classes, including G protein-coupled receptors, protein kinases and ion channels, which illustrate the nature of the unexplored opportunities for biomedical research and therapeutic development.Entities:
Year: 2018 PMID: 29472638 PMCID: PMC6339563 DOI: 10.1038/nrd.2018.14
Source DB: PubMed Journal: Nat Rev Drug Discov ISSN: 1474-1776 Impact factor: 84.694