Literature DB >> 21357612

Database identifies FDA-approved drugs with potential to be repurposed for treatment of orphan diseases.

Kui Xu1, Timothy R Coté.   

Abstract

Facing substantial obstacles to developing new therapies for rare diseases, some sponsors are looking to 'repurpose' drugs already approved for other conditions and use those therapies to treat rare diseases. In an effort to facilitate such repurposing and speed the delivery of new therapies to people who need them, we have established a new resource, the Rare Disease Repurposing Database (RDRD). The advantages of repurposed compounds include their demonstrated efficacy (in some clinical contexts), their observed toxicity profiles and their clearly described manufacturing controls. To create the RDRD, we matched the US Food and Drug Administration (FDA) orphan designation database to FDA drug and biological product approval lists. The RDRD lists 236 products that have received orphan status designation--that is, were found to be 'promising' for the treatment of a rare disease--and though not yet approved for marketing for that rare disease, they are already approved for marketing to treat some other disease or condition. The RDRD contains three tables: Orphan-designated products with at least one marketing approval for a common disease indication (N = 109); orphan-designated products with at least one marketing approval for a rare disease indication (N = 76); and orphan-designated products with marketing approvals for both common and rare disease indications (N = 51). While the data included in the database is a re-configuration/cross-indexing of information already released by the FDA, it offers sponsors a new tool for finding special opportunities to develop niche therapies for rare disease patients.

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Year:  2011        PMID: 21357612     DOI: 10.1093/bib/bbr006

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  27 in total

1.  Use of genome-wide association studies for drug repositioning.

Authors:  Philippe Sanseau; Pankaj Agarwal; Michael R Barnes; Tomi Pastinen; J Brent Richards; Lon R Cardon; Vincent Mooser
Journal:  Nat Biotechnol       Date:  2012-04-10       Impact factor: 54.908

2.  Orphan diseases: state of the drug discovery art.

Authors:  Claude-Henry Volmar; Claes Wahlestedt; Shaun P Brothers
Journal:  Wien Med Wochenschr       Date:  2016-01-27

3.  FDA approved drugs complexed to their targets: evaluating pose prediction accuracy of docking protocols.

Authors:  Mohammed H Bohari; G Narahari Sastry
Journal:  J Mol Model       Date:  2012-05-08       Impact factor: 1.810

Review 4.  A survey of current trends in computational drug repositioning.

Authors:  Jiao Li; Si Zheng; Bin Chen; Atul J Butte; S Joshua Swamidass; Zhiyong Lu
Journal:  Brief Bioinform       Date:  2015-03-31       Impact factor: 11.622

5.  New mechanistic and therapeutic targets for pediatric heart failure: report from a National Heart, Lung, and Blood Institute working group.

Authors:  Kristin M Burns; Barry J Byrne; Bruce D Gelb; Bernhard Kühn; Leslie A Leinwand; Seema Mital; Gail D Pearson; Mark Rodefeld; Joseph W Rossano; Brian L Stauffer; Michael D Taylor; Jeffrey A Towbin; Andrew N Redington
Journal:  Circulation       Date:  2014-07-01       Impact factor: 29.690

Review 6.  World health dilemmas: Orphan and rare diseases, orphan drugs and orphan patients.

Authors:  Christina N Kontoghiorghe; Nicholas Andreou; Katerina Constantinou; George J Kontoghiorghes
Journal:  World J Methodol       Date:  2014-09-26

7.  Flunarizine rescues reduced lifespan in CLN3 triple knock-out Caenorhabditis elegans model of batten disease.

Authors:  Young Joon Kwon; Marni J Falk; Michael J Bennett
Journal:  J Inherit Metab Dis       Date:  2016-10-20       Impact factor: 4.982

Review 8.  Implications of the small number of distinct ligand binding pockets in proteins for drug discovery, evolution and biochemical function.

Authors:  Jeffrey Skolnick; Mu Gao; Ambrish Roy; Bharath Srinivasan; Hongyi Zhou
Journal:  Bioorg Med Chem Lett       Date:  2015-02-03       Impact factor: 2.823

9.  A vector space model approach to identify genetically related diseases.

Authors:  Indra Neil Sarkar
Journal:  J Am Med Inform Assoc       Date:  2012-01-06       Impact factor: 4.497

Review 10.  Drug repurposing: progress, challenges and recommendations.

Authors:  Sudeep Pushpakom; Francesco Iorio; Patrick A Eyers; K Jane Escott; Shirley Hopper; Andrew Wells; Andrew Doig; Tim Guilliams; Joanna Latimer; Christine McNamee; Alan Norris; Philippe Sanseau; David Cavalla; Munir Pirmohamed
Journal:  Nat Rev Drug Discov       Date:  2018-10-12       Impact factor: 84.694

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