Kulkarni V S, Alagarsamy V, Solomon V R, Jose P A, Murugesan S
MNR College of Pharmacy, MNR Nagar, Fasalwadi, Sangareddy, Hyderabad 502294 India.
333031 Pilani Campus, Pilani India Department of Pharmacy, BITS Pilani.
Russ J Bioorg Chem. 2023;49(2):157-166. doi: 10.1134/S1068162023020139. Epub 2023 Feb 21.
Drug repurposing is using an existing drug for a new treatment that was not indicated before. It has received immense attention during the COVID-19 pandemic emergency. Drug repurposing has become the need of time to fasten the drug discovery process and find quicker solutions to the over-exerted healthcare scenario and drug needs. Drug repurposing involves identifying the drug, evaluating its efficiency using preclinical models, and proceeding to phase II clinical trials. Identification of the drug candidate can be made through computational and experimental approaches. This approach usually utilizes public databases for drugs. Data from primary and translational research, clinical trials, anecdotal reports regarding off-label uses, and other published human data information available are included. Using artificial intelligence algorithms and other bioinformatics tools, investigators systematically try to identify the interaction between drugs and protein targets. It can be combined with genetic data, clinical analysis, structure (molecular docking), pathways, signatures, targets, phenotypes, binding assays, and artificial intelligence to get an optimum outcome in repurposing. This article describes the strategies involved in drug repurposing and enlists a series of repurposed drugs and their indications.
药物重新利用是指将现有药物用于之前未指明的新治疗用途。在新冠疫情紧急情况期间，它受到了极大关注。药物重新利用已成为当下的需求，以加快药物研发进程，并为过度紧张的医疗保健状况和药物需求找到更快的解决方案。药物重新利用包括识别药物、使用临床前模型评估其有效性，以及进入二期临床试验。候选药物的识别可以通过计算和实验方法进行。这种方法通常利用药物的公共数据库。其中包括来自基础研究和转化研究、临床试验、关于非标签用途的轶事报告以及其他已发表的人类数据信息。通过使用人工智能算法和其他生物信息学工具，研究人员系统地尝试识别药物与蛋白质靶点之间的相互作用。它可以与基因数据、临床分析、结构（分子对接）、通路、特征、靶点、表型、结合试验和人工智能相结合，以在重新利用方面获得最佳结果。本文描述了药物重新利用所涉及的策略，并列举了一系列重新利用的药物及其适应症。
