School of Pharmacy, Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, 230032, PR China; School of Public Health, Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, Hefei, 230032, PR China.
Medicinal Chemistry, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Melbourne, Victoria, 3052, Australia.
Eur J Med Chem. 2024 Feb 15;266:116126. doi: 10.1016/j.ejmech.2024.116126. Epub 2024 Jan 5.
Due to their structural diversities and prevalent biological activities, natural products (NPs) are momentous resources for drug discovery. Although NPs have a wide range of biological activities, many exhibit structural complexity that leads to synthetic difficulties, which combines with inefficient biological activity, toxicity, and unfavorable pharmacokinetic characteristics and ultimately imparts poor safety and efficacy outcomes. Progress in crystallization and computational techniques allow crystallography to have a seasonable influences on drug discovery. By co-crystallizing with proteins, therapeutic targets of NPs in specific diseases can be identified. By analyzing the co-crystal information, the structure-activity relationships (SARs) of NPs targeting specific proteins can be grasped. Under the guidance of co-crystal information, directional structural modification and simplification are powerful strategies for overcoming limitations of NPs, improving the success rate of NP-based drug discovery, and obtaining NP-based drugs with high selectivity, low toxicity and favorable pharmacokinetic characteristics. Here, we review the co-crystal information of a selection of NPs, focusing on the SARs of NPs reflected by co-crystal information and the modification and simplification strategies of NPs, and discuss how to apply co-crystal information in the optimization of NP-based lead compound.
由于其结构多样性和广泛的生物活性,天然产物 (NPs) 是药物发现的重要资源。尽管 NPs 具有广泛的生物活性,但许多 NPs 结构复杂,导致合成困难,再加上生物活性低、毒性、不利的药代动力学特征,最终导致安全性和疗效不佳。结晶和计算技术的进步使晶体学能够及时地影响药物发现。通过与蛋白质共结晶,可以确定特定疾病中 NPs 的治疗靶点。通过分析共晶信息,可以掌握针对特定蛋白质的 NPs 的结构-活性关系 (SAR)。在共晶信息的指导下,定向结构修饰和简化是克服 NPs 局限性、提高基于 NPs 的药物发现成功率以及获得具有高选择性、低毒性和有利药代动力学特征的基于 NPs 的药物的有力策略。在这里,我们综述了一系列 NPs 的共晶信息,重点讨论了共晶信息反映的 NPs 的 SAR 以及 NPs 的修饰和简化策略,并讨论了如何将共晶信息应用于基于 NPs 的先导化合物的优化。