Literature DB >> 31898878

How to Illuminate the Druggable Genome Using Pharos.

Timothy Sheils1, Stephen L Mathias2, Vishal B Siramshetty1, Giovanni Bocci2, Cristian G Bologa2, Jeremy J Yang2, Anna Waller3, Noel Southall1, Dac-Trung Nguyen1, Tudor I Oprea2,4,5,6.   

Abstract

Pharos is an integrated web-based informatics platform for the analysis of data aggregated by the Illuminating the Druggable Genome (IDG) Knowledge Management Center, an NIH Common Fund initiative. The current version of Pharos (as of October 2019) spans 20,244 proteins in the human proteome, 19,880 disease and phenotype associations, and 226,829 ChEMBL compounds. This resource not only collates and analyzes data from over 60 high-quality resources to generate these types, but also uses text indexing to find less apparent connections between targets, and has recently begun to collaborate with institutions that generate data and resources. Proteins are ranked according to a knowledge-based classification system, which can help researchers to identify less studied "dark" targets that could be potentially further illuminated. This is an important process for both drug discovery and target validation, as more knowledge can accelerate target identification, and previously understudied proteins can serve as novel targets in drug discovery. Two basic protocols illustrate the levels of detail available for targets and several methods of finding targets of interest. An Alternate Protocol illustrates the difference in available knowledge between less and more studied targets.
© 2020 by John Wiley & Sons, Inc. Basic Protocol 1: Search for a target and view details Alternate Protocol: Search for dark target and view details Basic Protocol 2: Filter a target list to get refined results. © 2020 John Wiley & Sons, Inc.

Entities:  

Keywords:  bioinformatics; dark genome; disease; drug discovery; drug targets; phenotype; proteins; target validation

Mesh:

Substances:

Year:  2020        PMID: 31898878      PMCID: PMC7818358          DOI: 10.1002/cpbi.92

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  23 in total

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Authors:  Andrew L Hopkins; Colin R Groom
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5.  DISEASES: text mining and data integration of disease-gene associations.

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Journal:  Methods       Date:  2014-12-05       Impact factor: 3.608

6.  TIN-X: target importance and novelty explorer.

Authors:  Daniel C Cannon; Jeremy J Yang; Stephen L Mathias; Oleg Ursu; Subramani Mani; Anna Waller; Stephan C Schürer; Lars Juhl Jensen; Larry A Sklar; Cristian G Bologa; Tudor I Oprea
Journal:  Bioinformatics       Date:  2017-08-15       Impact factor: 6.937

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Journal:  Front Pharmacol       Date:  2018-05-22       Impact factor: 5.810

8.  Drug target ontology to classify and integrate drug discovery data.

Authors:  Yu Lin; Saurabh Mehta; Hande Küçük-McGinty; John Paul Turner; Dusica Vidovic; Michele Forlin; Amar Koleti; Dac-Trung Nguyen; Lars Juhl Jensen; Rajarshi Guha; Stephen L Mathias; Oleg Ursu; Vasileios Stathias; Jianbin Duan; Nooshin Nabizadeh; Caty Chung; Christopher Mader; Ubbo Visser; Jeremy J Yang; Cristian G Bologa; Tudor I Oprea; Stephan C Schürer
Journal:  J Biomed Semantics       Date:  2017-11-09

9.  Far away from the lamppost.

Authors:  Tudor I Oprea; Lily Jan; Gary L Johnson; Bryan L Roth; Avi Ma'ayan; Stephan Schürer; Brian K Shoichet; Larry A Sklar; Michael T McManus
Journal:  PLoS Biol       Date:  2018-12-11       Impact factor: 9.593

10.  STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.

Authors:  Damian Szklarczyk; Annika L Gable; David Lyon; Alexander Junge; Stefan Wyder; Jaime Huerta-Cepas; Milan Simonovic; Nadezhda T Doncheva; John H Morris; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-01       Impact factor: 12.779

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Journal:  RSC Med Chem       Date:  2021-12-03

5.  Identification of novel γ-globin inducers among all potential erythroid druggable targets.

Authors:  Lei Yu; Greggory Myers; Emily Schneider; Yu Wang; Raven Mathews; Kim Chew Lim; David Siemieniak; Vi Tang; David Ginsburg; Ginette Balbin-Cuesta; Sharon A Singh; Pongpon Phuwakanjana; Natee Jearawiriyapaisarn; Rami Khoriaty; James Douglas Engel
Journal:  Blood Adv       Date:  2022-06-14

6.  TCRD and Pharos 2021: mining the human proteome for disease biology.

Authors:  Timothy K Sheils; Stephen L Mathias; Keith J Kelleher; Vishal B Siramshetty; Dac-Trung Nguyen; Cristian G Bologa; Lars Juhl Jensen; Dušica Vidović; Amar Koleti; Stephan C Schürer; Anna Waller; Jeremy J Yang; Jayme Holmes; Giovanni Bocci; Noel Southall; Poorva Dharkar; Ewy Mathé; Anton Simeonov; Tudor I Oprea
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

Review 7.  Considerations and challenges for sex-aware drug repurposing.

Authors:  Jennifer L Fisher; Emma F Jones; Victoria L Flanary; Avery S Williams; Elizabeth J Ramsey; Brittany N Lasseigne
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