Drug target ontology to classify and integrate drug discovery data.

Journal: Journal of biomedical semantics
Published Date:

Abstract

BACKGROUND: One of the most successful approaches to develop new small molecule therapeutics has been to start from a validated druggable protein target. However, only a small subset of potentially druggable targets has attracted significant research and development resources. The Illuminating the Druggable Genome (IDG) project develops resources to catalyze the development of likely targetable, yet currently understudied prospective drug targets. A central component of the IDG program is a comprehensive knowledge resource of the druggable genome.

Authors

  • Yu Lin
    Research School of Computer Science, Australian National University, Canberra, 2601, ACT, Australia.
  • Saurabh Mehta
    Division of Nutritional Sciences, Cornell University, Ithaca, NY, United States.
  • Hande Küçük-McGinty
    Center for Computational Science, University of Miami, Coral Gables, FL, USA.
  • John Paul Turner
    Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, USA.
  • Dusica Vidovic
    Center for Computational Science, University of Miami, Coral Gables, FL, USA.
  • Michele Forlin
    Center for Computational Science, University of Miami, Coral Gables, FL, USA.
  • Amar Koleti
    Center for Computational Science, University of Miami, Coral Gables, FL, USA.
  • Dac-Trung Nguyen
    National Center for Advancing Translational Science, Rockville, MD, USA.
  • Lars Juhl Jensen
    Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, Heraklion, Crete, Greece, Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark, Max Planck Institute for Marine Microbiology, Bremen, Germany, Jacobs University gGmbH, School of Engineering and Sciences, Bremen, Germany, Marine Biological Laboratory, Woods Hole, MA 02543, USA and National Museum of Natural History, Smithsonian Institution, Washington, DC 20013-7012, USA.
  • Rajarshi Guha
    National Center for Advancing Translational Science, Rockville, MD, USA.
  • Stephen L Mathias
    Department of Internal Medicine, Translational Informatics Division, University of New Mexico School of Medicine, Albuquerque, NM, USA.
  • Oleg Ursu
    Department of Internal Medicine, Translational Informatics Division, University of New Mexico School of Medicine, Albuquerque, NM, USA.
  • Vasileios Stathias
    Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, USA.
  • Jianbin Duan
    Center for Computational Science, University of Miami, Coral Gables, FL, USA.
  • Nooshin Nabizadeh
    Center for Computational Science, University of Miami, Coral Gables, FL, USA.
  • Caty Chung
    Center for Computational Science, University of Miami, Coral Gables, FL, USA.
  • Christopher Mader
    Center for Computational Science, University of Miami, Coral Gables, FL, USA.
  • Ubbo Visser
    Department of Computer Science, University of Miami, Coral Gables, FL 33146.
  • Jeremy J Yang
    Department of Internal Medicine, Translational Informatics Division, University of New Mexico School of Medicine, Albuquerque, NM, USA.
  • Cristian G Bologa
    Department of Internal Medicine, Translational Informatics Division, University of New Mexico School of Medicine, Albuquerque, NM, USA.
  • Tudor I Oprea
    Department of Internal Medicine, Translational Informatics Division, University of New Mexico School of Medicine, Albuquerque, NM, USA. toprea@salud.unm.edu.
  • Stephan C Schürer
    Center for Computational Science, University of Miami, Coral Gables, FL, USA. sschurer@miami.edu.