Key Laboratory of Medicinal Chemistry for Natural Resources, Ministry of Education and Yunnan Province, School of Chemical Science and Technology , Yunnan University , 2Rd. Cuihubei , Kunming 650091 , China.
J Chem Inf Model. 2019 Jan 28;59(1):66-73. doi: 10.1021/acs.jcim.8b00560. Epub 2018 Dec 20.
Natural products (NPs) are a promising source of anti-inflammatory molecules for the development of drugs. Despite there being an abundance of reports of large numbers of NPs having bioactivity in preliminary cell-based assays of anti-inflammatory potential, their further optimization and exploration are limited by the lack of a comprehensive understanding of their effective scaffold structure or biological targets. To facilitate target-based studies of anti-inflammatory NPs, the details of 665 NPs reported to have anti-inflammatory activity were extracted from the literature and compiled into a data set we termed InflamNat. The physicochemical properties of the NPs were analyzed, and the distribution of their structures and scaffolds is presented. A compound-target network was constructed from data in the PubChem Bioassay database. The results demonstrated that, compared to natural anticancer compounds in the NPACT database, compounds from the InflamNat data set contained a comparable distribution of compound types but with a higher proportion satisfying Lipinski's rule. The all-atom structures and scaffold of the compounds were diverse and barely convergent, with flavonoids and triterpenoids being the groups with the greatest abundance. The biological targets of the InflamNat compounds were identified as belonging to a variety of protein families that had varied function. Seventy-two percent of InflamNat compounds involved in the network were identified as having more than one biological target, highlighting the potential for multitarget anti-inflammatory drug development. In conclusion, anti-inflammatory NPs provide a good library for the screening of target-based leads or fragment-based drug design. Thus, elucidation of their biological targets is fundamental for either a specific single-target or multitarget drug development strategy. Meanwhile, a large proportion of the chemical space of anti-inflammatory NPs is still unexplored, with novel active scaffolds remaining to be discovered.
天然产物 (NPs) 是开发抗炎药物的有前途的抗炎分子来源。尽管有大量报道称大量 NPs 在初步基于细胞的抗炎潜力测定中具有生物活性,但由于缺乏对其有效支架结构或生物靶点的全面了解,其进一步优化和探索受到限制。为了促进抗炎 NPs 的基于靶点的研究,从文献中提取了 665 种具有抗炎活性的 NPs 的详细信息,并将其汇编成一个我们称为 InflamNat 的数据集。分析了 NPs 的物理化学性质,并呈现了它们的结构和支架的分布。从 PubChem Bioassay 数据库中的数据构建了化合物-靶标网络。结果表明,与 NPACT 数据库中的天然抗癌化合物相比,InflamNat 数据集的化合物包含可比的化合物类型分布,但符合 Lipinski 规则的比例更高。化合物的全原子结构和支架多样化且几乎没有收敛,其中黄酮类和三萜类化合物含量最多。InflamNat 化合物的生物靶点被鉴定为属于具有不同功能的多种蛋白质家族。网络中涉及的 72%的 InflamNat 化合物被鉴定为具有一个以上的生物靶点,这突出了开发多靶点抗炎药物的潜力。总之,抗炎 NPs 为基于靶点的先导化合物筛选或基于片段的药物设计提供了一个很好的文库。因此,阐明其生物靶点是针对特定的单靶点或多靶点药物开发策略的基础。同时,抗炎 NPs 的大部分化学空间仍未被探索,仍然需要发现新的活性支架。