Abstract

Drug repurposing has been applied in the biomedical field to optimize the use of existing drugs, leading to a more efficient allocation of research resources. In oncology, this approach is particularly interesting, considering the high cost related to the discovery of new drugs with therapeutic potential. Computational methods have been applied to predict associations between drugs and their targets. However, drug repurposing has not always been promising and its efficiency has yet to be proven. Therefore, the present scoping review protocol was developed to screen the literature on how in silico strategies can be implemented in drug repurposing in oncology. The scoping review will be conducted according to the Arksey and O'Malley framework (2005) and the Joanna Briggs Institute recommendations. We will search the PubMed/MEDLINE, Embase, Scopus, and Web of Science databases, as well as the grey literature. We will include peer-reviewed research articles involving in silico strategies applied to drug repurposing in oncology, published between January 1, 2003, and December 31, 2021. Data will be charted and findings described according to review questions. We will report the scoping review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Review guidelines (PRISMA-ScR).

Keywords:
Drug repositioning Repurposing In silico Protocol (science) DrugBank Drug discovery Field (mathematics)

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Topics

Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Meta-analysis and systematic reviews
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
Cell Image Analysis Techniques
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Biophysics

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