Salvador-Reyes Lilibeth A, Luesch Hendrik
Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, Florida 32610, USA.
Nat Prod Rep. 2015 Mar;32(3):478-503. doi: 10.1039/c4np00104d.
Marine cyanobacteria are an ancient group of organisms and prolific producers of bioactive secondary metabolites. These compounds are presumably optimized by evolution over billions of years to exert high affinity for their intended biological target in the ecologically relevant organism but likely also possess activity in different biological contexts such as human cells. Screening of marine cyanobacterial extracts for bioactive natural products has largely focused on cancer cell viability; however, diversification of the screening platform led to the characterization of many new bioactive compounds. Targets of compounds have oftentimes been elusive if the compounds were discovered through phenotypic assays. Over the past few years, technology has advanced to determine mechanism of action (MOA) and targets through reverse chemical genetic and proteomic approaches, which has been applied to certain cyanobacterial compounds and will be discussed in this review. Some cyanobacterial molecules are the most-potent-in-class inhibitors and therefore may become valuable tools for chemical biology to probe protein function but also be templates for novel drugs, assuming in vitro potency translates into cellular and in vivo activity. Our review will focus on compounds for which the direct targets have been deciphered or which were found to target a novel pathway, and link them to disease states where target modulation may be beneficial.
海洋蓝藻细菌是一类古老的生物,也是生物活性次生代谢产物的丰富生产者。这些化合物可能经过数十亿年的进化优化,对其在生态相关生物体中的预期生物靶点具有高亲和力,但在不同的生物环境(如人类细胞)中可能也具有活性。对海洋蓝藻细菌提取物进行生物活性天然产物筛选,主要集中在癌细胞活力方面;然而,筛选平台的多样化导致了许多新的生物活性化合物的鉴定。如果化合物是通过表型分析发现的,其靶点往往难以捉摸。在过去几年中,技术已经发展到通过反向化学遗传学和蛋白质组学方法来确定作用机制(MOA)和靶点,这些方法已应用于某些蓝藻细菌化合物,并将在本综述中进行讨论。一些蓝藻细菌分子是同类中最有效的抑制剂,因此可能成为化学生物学中探究蛋白质功能的宝贵工具,也可能成为新型药物的模板,前提是体外效力能够转化为细胞和体内活性。我们的综述将聚焦于那些直接靶点已被破译或发现靶向新途径的化合物,并将它们与靶点调节可能有益的疾病状态联系起来。