Drug discovery and optimization based on the co-crystal structure of natural product with target

药物发现 化学 天然产物 药品 计算生物学 结晶 组合化学 小分子 纳米技术 生化工程 药理学 立体化学 生物化学 有机化学 材料科学 生物 工程类
作者
Xing Chen,Swapna Varghese,Zhaoyan Zhang,Juncheng Du,Ban‐Feng Ruan,Jonathan B. Baell,Xinhua Liu
出处
期刊:European journal of medicinal chemistry [Elsevier BV]
卷期号:266: 116126-116126 被引量:17
标识
DOI:10.1016/j.ejmech.2024.116126
摘要

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.
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