Drug repositioning for orphan diseases

被引:162
作者
Sardana, Divya [2 ]
Zhu, Cheng [2 ]
Zhang, Minlu [2 ]
Gudivada, Ranga C.
Yang, Lun
Jegga, Anil G. [1 ]
机构
[1] Cincinnati Childrens Hosp, Med Ctr, Cincinnati, OH 45229 USA
[2] Univ Cincinnati, Dept Comp Sci, Cincinnati, OH 45221 USA
关键词
orphan disease; rare disease; orphan drug; drug repositioning; drug repurposing; SEMANTIC WEB; TARGET; IDENTIFICATION; DISCOVERY; PHARMACOLOGY; PERFORMANCE; METABOLISM; PREDICTION; LINKING;
D O I
10.1093/bib/bbr021
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The need and opportunity to discover therapeutics for rare or orphan diseases are enormous. Due to limited prevalence and/or commercial potential, of the approximately 6000 orphan diseases (defined by the FDA Orphan Drug Act as <200 000 US prevalence), only a small fraction (5%) is of interest to the biopharmaceutical industry. The fact that drug development is complicated, time-consuming and expensive with extremely low success rates only adds to the low rate of therapeutics available for orphan diseases. An alternative and efficient strategy to boost the discovery of orphan disease therapeutics is to find connections between an existing drug product and orphan disease. Drug Repositioning or Drug Repurposing finding a new indication for a drug is one way to maximize the potential of a drug. The advantages of this approach are manifold, but rational drug repositioning for orphan diseases is not trivial and poses several formidable challenges pharmacologically and computationally. Most of the repositioned drugs currently in the market are the result of serendipity. One reason the connection between drug candidates and their potential new applications are not identified in an earlier or more systematic fashion is that the underlying mechanism 'connecting' them is either very intricate and unknown or indirect or dispersed and buried in an ever-increasing sea of information, much of which is emerging only recently and therefore is not well organized. In this study, we will review some of these issues and the current methodologies adopted or proposed to overcome them and translate chemical and biological discoveries into safe and effective orphan disease therapeutics.
引用
收藏
页码:346 / 356
页数:11
相关论文
共 62 条
[1]   Biological knowledge management: the emerging role of the Semantic Web technologies [J].
Antezana, Erick ;
Kuiper, Martin ;
Mironov, Vladimir .
BRIEFINGS IN BIOINFORMATICS, 2009, 10 (04) :392-407
[2]   Drug repositioning: Identifying and developing new uses for existing drugs [J].
Ashburn, TT ;
Thor, KB .
NATURE REVIEWS DRUG DISCOVERY, 2004, 3 (08) :673-683
[3]   POLYAMINE METABOLISM - A POTENTIAL THERAPEUTIC TARGET IN TRYPANOSOMES [J].
BACCHI, CJ ;
NATHAN, HC ;
HUTNER, SH .
SCIENCE, 1980, 210 (4467) :332-334
[4]   Bio2RDF: Towards a mashup to build bioinformatics knowledge systems [J].
Belleau, Francois ;
Nolin, Marc-Alexandre ;
Tourigny, Nicole ;
Rigault, Philippe ;
Morissette, Jean .
JOURNAL OF BIOMEDICAL INFORMATICS, 2008, 41 (05) :706-716
[5]   Network analyses in systems pharmacology [J].
Berger, Seth I. ;
Iyengar, Ravi .
BIOINFORMATICS, 2009, 25 (19) :2466-2472
[6]   Publishing on the semantic web - The coming Internet revolution will profoundly affect scientific information. [J].
Berners-Lee, T ;
Hendler, J .
NATURE, 2001, 410 (6832) :1023-1024
[7]   Repurposing with a Difference [J].
Boguski, Mark S. ;
Mandl, Kenneth D. ;
Sukhatme, Vikas P. .
SCIENCE, 2009, 324 (5933) :1394-1395
[8]  
Boran ADW, 2010, CURR OPIN DRUG DISC, V13, P297
[9]   Lessons learnt from assembling screening libraries for drug discovery for neglected diseases [J].
Brenk, Ruth ;
Schipani, Alessandro ;
James, Daniel ;
Krasowski, Agata ;
Gilbert, Ian Hugh ;
Frearson, Julie ;
Wyatt, Paul Graham .
CHEMMEDCHEM, 2008, 3 (03) :435-444
[10]  
Brynner Rock., 2001, DARK REMEDY IMPACT T