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Computational Drug Repurposing: Classification of the Research Opportunities and Challenges.
Current Computer-Aided Drug Design ( IF 1.7 ) Pub Date : 2020-07-31 , DOI: 10.2174/1573409915666190613113822
Seyedeh Shaghayegh Sadeghi 1 , Mohammad Reza Keyvanpour 2
Affiliation  

Background: Drug repurposing has grown significantly in recent years. Research and innovation in drug repurposing are extremely popular due to its practical and explicit advantages. However, its adoption into practice is slow because researchers and industries have to face various challenges.

Objective: As this field, there is a lack of a comprehensive platform for systematic identification for removing development limitations. This paper deals with a comprehensive classification of challenges in drug repurposing.

Methods: Initially, a classification of various existing repurposing models is propounded. Next, the benefits of drug repurposing are summarized. Further, a categorization for computational drug repurposing shortcomings is presented. Finally, the methods are evaluated based on their strength to addressing the drawbacks.

Results: This work can offer a desirable platform for comparing the computational repurposing methods by measuring the methods in light of these challenges.

Conclusion: A proper comparison could prepare guidance for a genuine understanding of methods. Accordingly, this comprehension of the methods will help researchers eliminate the barriers thereby developing and improving methods. Furthermore, in this study, we conclude why despite all the benefits of drug repurposing, it is not being done anymore.



中文翻译:

计算药物的用途:研究机会和挑战的分类。

背景:近几年来,毒品的重新使用已经显着增长。由于其实用和明显的优势,药物再利用的研究和创新非常受欢迎。但是,由于研究人员和行业必须面对各种挑战,因此它的采用速度很慢。

目标:作为该领域,缺少用于系统识别以消除开发限制的综合平台。本文涉及药物再利用挑战的全面分类。

方法:最初,提出了各种现有重用模型的分类。接下来,总结了药物利用的好处。此外,提出了用于计算药物再利用缺点的分类。最后,基于解决缺陷的强度对方法进行评估。

结果:这项工作可以提供一个理想的平台,以根据这些挑战通过测量方法来比较计算重用方法。

结论:适当的比较可以为对方法的真正理解提供指导。因此,对方法的理解将有助于研究人员消除障碍,从而开发和改进方法。此外,在这项研究中,我们得出结论,为什么尽管重新使用药物具有所有好处,但现在不再这样做了。

更新日期:2020-09-03
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