药物再利用的挑战与机遇:药物再利用的挑战与机遇:药物发现中的一种新兴技术

Q4 Pharmacology, Toxicology and Pharmaceutics
Sanyogita Harale, Pooja Hupare, P. Ghatage, Vijaya Govande, Omkar Gurav, Sandip Bandgar, Sachin Patil, Dinanath Gaikwad
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引用次数: 0

摘要

术语 "药物再利用 "指的是利用现有药物确定未满足的医疗需求并开发创新解决方案的做法。这是一种有用的策略,可用于识别或开发具有未开发治疗潜力的新药物分子。目前正在使用的一些计算药物再利用方法已被用于抗击 2019 年冠状病毒病(COVID-19)大流行。得益于计算方法的进步以及对病毒病因学和药理学药效学的基本了解,许多目前使用的药物正在被重新利用。这项工作的目的是强调在 COVID-19、细菌感染和癌症治疗中利用重新设计的药物。药物再利用方法在商业界和学术界都得到了快速发展,因为它关注的是将产品推向市场的最初知识和投资。最近,药物重新定位已被多家制药公司纳入药物研发计划,目的是针对新生物靶点的发现创造新疗法。除了效率高外,药物再利用方法还能节省资金,而且药理学特征也是众所周知的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CHALLENGES AND OPPORTUNITIES WITH DRUG REPURPOSING: AN EMERGING TECHNIQUE IN DRUGS DISCOVERY
The term “drug repurposing” refers to the practice of identifying unmet medical needs and developing innovative solutions using already available drugs. It’s a useful strategy for identifying or developing new medicinal molecules with untapped therapeutic potential. Some of the computational drugs repurposing methods currently in use have been employed in the fight against the 2019 coronavirus illness (COVID-19) pandemic. Many currently used medications are being repurposed, thanks to advances in computational approaches and a fundamental understanding of viral etiology and pharmacological pharmacodynamics. The objective of this work is to highlight the utilization of repurposed medicines for COVID-19, bacterial infections and cancer therapy. The drug repurposing method is fast-growing in both business and academia, since it focuses on the initial knowledge and investment that brought the product to market in the first place. Recently, medication repositioning has been included in the drug R&D plans of several pharmaceutical companies, aiming to create new therapies in response to the identification of novel biological targets. In addition to being highly efficient, the drug repurposing method also saves money and the pharmacological profiles are generally known.
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来源期刊
INDIAN DRUGS
INDIAN DRUGS Pharmacology, Toxicology and Pharmaceutics-Pharmaceutical Science
CiteScore
0.30
自引率
0.00%
发文量
98
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