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Natural Products for Drug Discovery in the 21st Century: Innovations for Novel Drug Discovery

机译:21世纪用于药物发现的天然产品:新型药物发现的创新

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摘要

The therapeutic properties of plants have been recognised since time immemorial. Many pathological conditions have been treated using plant-derived medicines. These medicines are used as concoctions or concentrated plant extracts without isolation of active compounds. Modern medicine however, requires the isolation and purification of one or two active compounds. There are however a lot of global health challenges with diseases such as cancer, degenerative diseases, HIV/AIDS and diabetes, of which modern medicine is struggling to provide cures. Many times the isolation of “active compound” has made the compound ineffective. Drug discovery is a multidimensional problem requiring several parameters of both natural and synthetic compounds such as safety, pharmacokinetics and efficacy to be evaluated during drug candidate selection. The advent of latest technologies that enhance drug design hypotheses such as Artificial Intelligence, the use of ‘organ-on chip’ and microfluidics technologies, means that automation has become part of drug discovery. This has resulted in increased speed in drug discovery and evaluation of the safety, pharmacokinetics and efficacy of candidate compounds whilst allowing novel ways of drug design and synthesis based on natural compounds. Recent advances in analytical and computational techniques have opened new avenues to process complex natural products and to use their structures to derive new and innovative drugs. Indeed, we are in the era of computational molecular design, as applied to natural products. Predictive computational softwares have contributed to the discovery of molecular targets of natural products and their derivatives. In future the use of quantum computing, computational softwares and databases in modelling molecular interactions and predicting features and parameters needed for drug development, such as pharmacokinetic and pharmacodynamics, will result in few false positive leads in drug development. This review discusses plant-based natural product drug discovery and how innovative technologies play a role in next-generation drug discovery.
机译:自远古以来就已经认识到植物的治疗特性。已经使用植物来源的药物治疗了许多病理状况。这些药物可用作药汁或浓缩的植物提取物,而无需分离活性化合物。然而,现代医学需要分离和纯化一种或两种活性化合物。然而,癌症,退行性疾病,艾滋病毒/艾滋病和糖尿病等疾病对全球健康构成了许多挑战,而现代医学正竭力为此提供治疗方法。很多时候,“活性化合物”的分离使该化合物无效。药物发现是一个多维问题,需要在候选药物选择期间评估天然和合成化合物的几个参数,例如安全性,药代动力学和功效。诸如人工智能,使用“有机芯片”和微流体技术等可增强药物设计假设的最新技术的出现,意味着自动化已成为药物发现的一部分。这导致药物发现和评估候选化合物的安全性,药代动力学和功效的速度加快,同时允许基于天然化合物的新型药物设计和合成方法。分析和计算技术的最新进展为处理复杂的天然产物并利用其结构来获得新的和创新的药物开辟了新途径。确实,我们正处于应用于天然产物的计算分子设计时代。预测性计算软件有助于发现天然产物及其衍生物的分子靶标。将来,使用量子计算,计算软件和数据库来建模分子相互作用并预测药物开发所需的特征和参数,例如药代动力学和药效学,将在药物开发中产​​生很少的假阳性线索。这篇综述讨论了基于植物的天然产物药物发现以及创新技术如何在下一代药物发现中发挥作用。

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