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基于天然化合物的药物开发的组学技术。

OMICs Technologies for Natural Compounds-based Drug Development.

机构信息

Healthy Africans Platform, Research and Development, Ibadan, Nigeria.

Sumy State University and Toufik's World Medical Association, Sumy, Ukraine.

出版信息

Curr Top Med Chem. 2022 Oct 31;22(21):1751-1765. doi: 10.2174/1568026622666220726092034.

Abstract

Compounds isolated from natural sources have been used for medicinal purposes for many centuries. Some metabolites of plants and microorganisms possess properties that would make them effective treatments against bacterial infection, inflammation, cancer, and an array of other medical conditions. In addition, natural compounds offer therapeutic approaches with lower toxicity compared to most synthetic analogues. However, it is challenging to identify and isolate potential drug candidates without specific information about structural specificity and limited knowledge of any specific physiological pathways in which they are involved. To solve this problem and find a way to efficiently utilize natural sources for the screening of compounds candidates, technologies, such as next-generation sequencing, bioinformatics techniques, and molecular analysis systems, should be adapted for screening many chemical compounds. Molecular techniques capable of performing analysis of large datasets, such as whole-genome sequencing and cellular protein expression profile, have become essential tools in drug discovery. OMICs, as genomics, proteomics, and metabolomics, are often used in targeted drug discovery, isolation, and characterization. This review summarizes technologies that are effective in natural source drug discovery and aid in a more precisely targeted pharmaceutical approach, including RNA interference or CRISPR technology. We strongly suggest that a multidisciplinary effort utilizing novel molecular tools to identify and isolate active compounds applicable for future drug discovery and production must be enhanced with all the available computational tools.

摘要

天然来源的化合物被用于医学目的已有数个世纪。一些植物和微生物的代谢物具有抗菌感染、炎症、癌症和一系列其他医学病症的有效治疗特性。此外,与大多数合成类似物相比,天然化合物提供了毒性更低的治疗方法。然而,在没有关于结构特异性的具体信息和对它们所涉及的任何特定生理途径的有限了解的情况下,识别和分离潜在的药物候选物具有挑战性。为了解决这个问题并找到一种有效利用天然资源筛选化合物候选物的方法,应该采用下一代测序、生物信息学技术和分子分析系统等技术来筛选许多化学化合物。能够进行大规模数据集分析的分子技术,如全基因组测序和细胞蛋白表达谱分析,已成为药物发现的重要工具。OMICS(如基因组学、蛋白质组学和代谢组学)常用于靶向药物发现、分离和表征。本综述总结了在天然药物发现中有效的技术,并为更精确的药物靶向方法提供了帮助,包括 RNA 干扰或 CRISPR 技术。我们强烈建议,必须利用新的分子工具来加强多学科努力,以识别和分离适用于未来药物发现和生产的活性化合物,并利用所有可用的计算工具。

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