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天然产物作为蛋白质-蛋白质相互作用靶向药物发现的化学文库。

Natural products used as a chemical library for protein-protein interaction targeted drug discovery.

机构信息

Department of Biotechnology, Yonsei University, Seoul 03722, Korea.

Bioinformatics & Molecular Design Research Center (BMDRC), Yonsei University, Seoul 03722, Korea.

出版信息

J Mol Graph Model. 2018 Jan;79:46-58. doi: 10.1016/j.jmgm.2017.10.015. Epub 2017 Oct 27.

Abstract

Protein-protein interactions (PPIs), which are essential for cellular processes, have been recognized as attractive therapeutic targets. Therefore, the construction of a PPI-focused chemical library is an inevitable necessity for future drug discovery. Natural products have been used as traditional medicines to treat human diseases for millennia; in addition, their molecular scaffolds have been used in diverse approved drugs and drug candidates. The recent discovery of the ability of natural products to inhibit PPIs led us to use natural products as a chemical library for PPI-targeted drug discovery. In this study, we collected natural products (NPDB) from non-commercial and in-house databases to analyze their similarities to small-molecule PPI inhibitors (iPPIs) and FDA-approved drugs by using eight molecular descriptors. Then, we evaluated the distribution of NPDB and iPPIs in the chemical space, represented by the molecular fingerprint and molecular scaffolds, to identify the promising scaffolds, which could interfere with PPIs. To investigate the ability of natural products to inhibit PPI targets, molecular docking was used. Then, we predicted a set of high-potency natural products by using the iPPI-likeness score based on a docking score-weighted model. These selected natural products showed high binding affinities to the PPI target, namely XIAP, which were validated in an in vitro experiment. In addition, the natural products with novel scaffolds might provide a promising starting point for further medicinal chemistry developments. Overall, our study shows the potency of natural products in targeting PPIs, which might help in the design of a PPI-focused chemical library for future drug discovery.

摘要

蛋白质-蛋白质相互作用(PPIs)是细胞过程所必需的,已被认为是有吸引力的治疗靶点。因此,构建一个以 PPI 为重点的化学文库是未来药物发现的必然需要。天然产物作为传统药物已经被用于治疗人类疾病数千年;此外,它们的分子骨架已被用于多种已批准的药物和候选药物中。最近发现天然产物具有抑制 PPI 的能力,这促使我们将天然产物用作 PPI 靶向药物发现的化学文库。在这项研究中,我们从非商业和内部数据库中收集天然产物(NPDB),通过使用八个分子描述符来分析它们与小分子 PPI 抑制剂(iPPIs)和 FDA 批准药物的相似性。然后,我们评估了 NPDB 和 iPPIs 在化学空间中的分布,用分子指纹和分子骨架来表示,以识别有希望的骨架,这些骨架可以干扰 PPI。为了研究天然产物抑制 PPI 靶标的能力,我们使用了分子对接。然后,我们使用基于对接评分加权模型的 iPPI 相似性评分来预测一组高活性的天然产物。这些选定的天然产物与 PPI 靶标(即 XIAP)表现出高结合亲和力,在体外实验中得到了验证。此外,具有新型骨架的天然产物可能为进一步的药物化学发展提供有前途的起点。总体而言,我们的研究表明天然产物在靶向 PPI 方面的潜力,这可能有助于设计未来用于药物发现的以 PPI 为重点的化学文库。

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