Computational drug repositioning for rare diseases in the era of precision medicine

被引:55
|
作者
Delavan, Brian [1 ,2 ]
Roberts, Ruth [3 ,4 ]
Huang, Ruili [5 ]
Bao, Wenjun [6 ]
Tong, Weida [1 ]
Liu, Zhichao [1 ]
机构
[1] US FDA, Natl Ctr Toxicol Res, Jefferson, AR 72079 USA
[2] Univ Arkansas, Little Rock, AR 72204 USA
[3] ApconiX, BioHub Alderley Pk, Alderley Edge SK10 4TG, England
[4] Univ Birmingham, Birmingham B15 2TT, W Midlands, England
[5] NIH, Natl Ctr Adv Translat Sci, Rockville, MD 20850 USA
[6] SAS Inst Inc, Cary, NC USA
关键词
HUMAN PHENOTYPE ONTOLOGY; GENOME-WIDE ASSOCIATION; GENE-EXPRESSION DATA; THERAPEUTIC TARGETS; CONNECTIVITY MAP; SMALL MOLECULES; NCBI GEO; DISCOVERY; GENOTYPE; MICRORNAS;
D O I
10.1016/j.drudis.2017.10.009
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
There are tremendous unmet needs in drug development for rare diseases. Computational drug repositioning is a promising approach and has been successfully applied to the development of treatments for diseases. However, how to utilize this knowledge and effectively conduct and implement computational drug repositioning approaches for rare disease therapies is still an open issue. Here, we focus on the means of utilizing accumulated genomic data for accelerating and facilitating drug repositioning for rare diseases. First, we summarize the current genome landscape of rare diseases. Second, we propose several promising bioinformatics approaches and pipelines for computational drug repositioning for rare diseases. Finally, we discuss recent regulatory incentives and other enablers in rare disease drug development and outline the remaining challenges.
引用
收藏
页码:382 / 394
页数:13
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