Web-based Tools for Drug Repurposing: Successful Examples of Collaborative Research

被引:2
|
作者
Vanhaelen, Quentin [1 ]
机构
[1] Insilico Med, Pak Shek Kok, 307A,Core Bldg 1,1 Sci Pk East Ave, Hong Kong, Peoples R China
关键词
Drug repurposing; web-based tools; database; computational methods; validation; data integration; IN-SILICO METHODS; INTERACTION PREDICTION; DISCOVERY; PROTEIN; CANCER; VISUALIZATION; OPPORTUNITIES; CANDIDATES; INHIBITORS; SELECTION;
D O I
10.2174/0929867327666200128111925
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Computational approaches have been proven to be complementary tools of interest in identifying potential candidates for drug repurposing. However, although the methods developed so far offer interesting opportunities and could contribute to solving issues faced by the pharmaceutical sector, they also come with their constraints. Indeed, specific challenges ranging from data access, standardization and integration to the implementation of reliable and coherent validation methods must be addressed to allow systematic use at a larger scale. In this mini-review, we cover computational tools recently developed for addressing some of these challenges. This includes specific databases providing accessibility to a large set of curated data with standardized annotations, web-based tools integrating flexible user interfaces to perform fast computational repurposing experiments and standardized datasets specifically annotated and balanced for validating new computational drug repurposing methods. Interestingly, these new databases combined with the increasing number of information about the outcomes of drug repurposing studies can be used to perform a meta-analysis to identify key properties associated with successful drug repurposing cases. This information could further be used to design estimation methods to compute a priori assessment of the repurposing possibilities.
引用
收藏
页码:181 / 195
页数:15
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