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药物重新定位:一种翻新药物研发的独特方法。

Drug Repositioning: A Unique Approach to Refurbish Drug Discovery.

作者信息

Kale Mayura A, Shamkuwar Prashant B, Mourya Vishnukant K, Deshpande Aishwarya B, Shelke Priyanka A

机构信息

Government College of Pharmacy, Osmanpura, Aurangabad-431 005, Maharashtra, India.

出版信息

Curr Drug Discov Technol. 2022;19(1):e140122192307. doi: 10.2174/1570163818666210316114331.

DOI:10.2174/1570163818666210316114331
PMID:33726652
Abstract

For a decade, it has been observed that there is a remarkable decrease in the quantum of novel clinically approved drugs, in spite of modernization in the research and development process. We have highlighted repositioning of drugs as a methodology that has found new therapeutic implications for clinically approved drugs but with different indications. This can be considered as an upbringing strategy to deliver timely and cost-effective solutions, which still need exploration for getting over the shortage of novel drugs reaching the market. This review focuses on an activity-based drug repositioning approach, which is used to explore new uses of known drugs that are already approved for specific indications and are now being used for other indications on the basis that a single drug interacts with multiple targets. It also includes current research trends related to drug repositioning, which depends on strong knowledge of medicinal chemistry and involves elucidation of mechanisms of action and validation of novel targets. The review highlights the importance of computational tools and databases of various forms for drug repositioning purposes, which have enhanced the ability to pose reasonable and testable hypotheses. The critical nature of this aspect is obvious in cases where data gathered from in vitro, or animal models do not confirm in subsequent clinical trials. Hence, considering the positive outcomes of drug repositioning, it can be surmised that this approach can serve as a promising one that can develop into a robust drug discovery strategy.

摘要

十年来,人们观察到,尽管研发过程实现了现代化,但新的临床批准药物数量仍显著下降。我们强调了药物重新定位作为一种方法,它为临床批准药物找到了新的治疗意义,但适应症不同。这可以被视为一种培育策略,以提供及时且具有成本效益的解决方案,不过要克服进入市场的新药短缺问题,仍需对其进行探索。本综述聚焦于基于活性的药物重新定位方法,该方法用于探索已知药物的新用途,这些药物已被批准用于特定适应症,现在基于单一药物与多个靶点相互作用的原理被用于其他适应症。它还包括与药物重新定位相关的当前研究趋势,这依赖于对药物化学的深入了解,涉及作用机制的阐明和新靶点的验证。该综述强调了各种形式的计算工具和数据库对于药物重新定位目的的重要性,它们增强了提出合理且可测试假设的能力。在从体外或动物模型收集的数据在后续临床试验中未得到证实时,这方面的关键性质就很明显了。因此,考虑到药物重新定位的积极成果,可以推测这种方法可能是一种有前景的方法,能够发展成为一种强大的药物发现策略。

相似文献

1
Drug Repositioning: A Unique Approach to Refurbish Drug Discovery.药物重新定位:一种翻新药物研发的独特方法。
Curr Drug Discov Technol. 2022;19(1):e140122192307. doi: 10.2174/1570163818666210316114331.
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Drug Repurposing: An Emerging Tool for Drug Reuse, Recycling and Discovery.药物再利用:药物再利用、再循环和发现的新兴工具。
Curr Drug Res Rev. 2021;13(2):101-119. doi: 10.2174/2589977513666210211163711.
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Drug repositioning: re-investigating existing drugs for new therapeutic indications.药物重新定位:重新研究现有药物以寻找新的治疗适应症。
J Postgrad Med. 2011 Apr-Jun;57(2):153-60. doi: 10.4103/0022-3859.81870.
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A medicinal chemistry perspective of drug repositioning: Recent advances and challenges in drug discovery.药物重定位的药物化学视角:药物发现的最新进展和挑战。
Eur J Med Chem. 2020 Jun 1;195:112275. doi: 10.1016/j.ejmech.2020.112275. Epub 2020 Apr 2.
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Computational Drug Repositioning: A Lateral Approach to Traditional Drug Discovery?计算药物重新定位:传统药物发现的一种横向方法?
Curr Top Med Chem. 2016;16(19):2069-77. doi: 10.2174/1568026616666160216153249.
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A review of validation strategies for computational drug repositioning.计算药物重定位的验证策略综述。
Brief Bioinform. 2018 Jan 1;19(1):174-177. doi: 10.1093/bib/bbw110.
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A systems-level analysis of drug-target-disease associations for drug repositioning.基于药物-靶点-疾病关联的系统水平分析用于药物重定位。
Brief Funct Genomics. 2018 Jan 1;17(1):34-41. doi: 10.1093/bfgp/elx015.
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Predicting new indications for approved drugs using a proteochemometric method.利用蛋白组化学计量学方法预测已批准药物的新适应症。
J Med Chem. 2012 Aug 9;55(15):6832-48. doi: 10.1021/jm300576q. Epub 2012 Jul 25.
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Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning.RepurposeDB 中的药物和疾病适应症的系统分析揭示了影响药物重新定位的药理学、生物学和流行病学因素。
Brief Bioinform. 2018 Jul 20;19(4):656-678. doi: 10.1093/bib/bbw136.
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In silico drug repositioning: from large-scale transcriptome data to therapeutics.计算机药物重定位:从大规模转录组数据到治疗学。
Arch Pharm Res. 2019 Oct;42(10):879-889. doi: 10.1007/s12272-019-01176-3. Epub 2019 Sep 3.

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