In silico drug repositioning: from large-scale transcriptome data to therapeutics
- 주제(키워드) Drug repositioning , In silico drug repositioning , Transcriptome , Pharmacogenomics , Big data
- 주제(기타) Chemistry, Medicinal
- 주제(기타) Pharmacology & Pharmacy
- 등재 SCIE, SCOPUS, KCI등재
- 발행기관 PHARMACEUTICAL SOC KOREA
- 발행년도 2019
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000162178
- 본문언어 영어
- Published As http://dx.doi.org/10.1007/s12272-019-01176-3
- PubMed https://pubmed.ncbi.nlm.nih.gov/31482491
- 저작권 이화여자대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
Drug repositioning is an attractive alternative to conventional drug development when new beneficial effects of old drugs are clinically validated because pharmacokinetic and safety profiles are generally already available. Since similar to 30% of drugs newly approved by the US food and drug administration (FDA) are developed through drug repositioning, identifying novel usage for existing drugs is an emerging strategy for developing disease treatments. With advances in next-generation sequencing technologies, available transcriptome data related to diseases have expanded rapidly. Harnessing these resources enables a better understanding of disease mechanisms and drug mode of action (MOA), and moves toward personalized pharmacotherapy. In this review, we briefly outline publicly available large-scale transcriptome databases and tools for drug repositioning. We also highlight recent approaches leading to the discovery of novel drug targets, drug response biomarkers, drug indications, and drug MOA.
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