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Pharos: Collating protein information to shed light on the druggable genome.
Nguyen, Dac-Trung; Mathias, Stephen; Bologa, Cristian; Brunak, Soren; Fernandez, Nicolas; Gaulton, Anna; Hersey, Anne; Holmes, Jayme; Jensen, Lars Juhl; Karlsson, Anneli; Liu, Guixia; Ma'ayan, Avi; Mandava, Geetha; Mani, Subramani; Mehta, Saurabh; Overington, John; Patel, Juhee; Rouillard, Andrew D; Schürer, Stephan; Sheils, Timothy; Simeonov, Anton; Sklar, Larry A; Southall, Noel; Ursu, Oleg; Vidovic, Dusica; Waller, Anna; Yang, Jeremy; Jadhav, Ajit; Oprea, Tudor I; Guha, Rajarshi.
Afiliação
  • Nguyen DT; National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
  • Mathias S; Translational Informatics Division, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  • Bologa C; Translational Informatics Division, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  • Brunak S; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
  • Fernandez N; Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Gaulton A; European Molecular Biology Laboratory - European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
  • Hersey A; European Molecular Biology Laboratory - European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
  • Holmes J; Translational Informatics Division, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  • Jensen LJ; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
  • Karlsson A; BenevolentAI, 40 Churchway, London NW1 1LW, UK.
  • Liu G; Translational Informatics Division, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  • Ma'ayan A; East China University of Science and Technology, Dept. Pharmaceutical Sciences, Shanghai, China.
  • Mandava G; Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Mani S; National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
  • Mehta S; Translational Informatics Division, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  • Overington J; Center for Computational Science, University of Miami, Coral Gables, FL 33146, USA.
  • Patel J; Department of Applied Chemistry, Delhi Technological University, Delhi 110042, India.
  • Rouillard AD; BenevolentAI, 40 Churchway, London NW1 1LW, UK.
  • Schürer S; Translational Informatics Division, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  • Sheils T; BA/MD Program, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  • Simeonov A; Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1603, New York, NY 10029, USA.
  • Sklar LA; Center for Computational Science, University of Miami, Coral Gables, FL 33146, USA.
  • Southall N; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
  • Ursu O; National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
  • Vidovic D; National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
  • Waller A; Translational Informatics Division, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  • Yang J; Center for Molecular Discovery, University of New Mexico Cancer Center, University of New Mexico, Albuquerque, NM 87131, USA.
  • Jadhav A; National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA.
  • Oprea TI; Translational Informatics Division, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
  • Guha R; Center for Computational Science, University of Miami, Coral Gables, FL 33146, USA.
Nucleic Acids Res ; 45(D1): D995-D1002, 2017 01 04.
Article em En | MEDLINE | ID: mdl-27903890
ABSTRACT
The 'druggable genome' encompasses several protein families, but only a subset of targets within them have attracted significant research attention and thus have information about them publicly available. The Illuminating the Druggable Genome (IDG) program was initiated in 2014, has the goal of developing experimental techniques and a Knowledge Management Center (KMC) that would collect and organize information about protein targets from four families, representing the most common druggable targets with an emphasis on understudied proteins. Here, we describe two resources developed by the KMC the Target Central Resource Database (TCRD) which collates many heterogeneous gene/protein datasets and Pharos (https//pharos.nih.gov), a multimodal web interface that presents the data from TCRD. We briefly describe the types and sources of data considered by the KMC and then highlight features of the Pharos interface designed to enable intuitive access to the IDG knowledgebase. The aim of Pharos is to encourage 'serendipitous browsing', whereby related, relevant information is made easily discoverable. We conclude by describing two use cases that highlight the utility of Pharos and TCRD.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Farmacogenética / Genômica / Bases de Dados Genéticas / Descoberta de Drogas / Ferramenta de Busca Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Farmacogenética / Genômica / Bases de Dados Genéticas / Descoberta de Drogas / Ferramenta de Busca Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article