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A strategy to find novel candidate anti-Alzheimer’s disease drugs by constructing interaction networks between drug targets and natural compounds in medical plants

机译:通过在医疗植物中构建药物靶标和天然化合物之间的相互作用网络来寻找新候选抗阿尔茨海默病药物的策略

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摘要

Background Alzheimer’ disease (AD) is an ultimately fatal degenerative brain disorder that has an increasingly large burden on health and social care systems. There are only five drugs for AD on the market, and no new effective medicines have been discovered for many years. Chinese medicinal plants have been used to treat diseases for thousands of years, and screening herbal remedies is a way to develop new drugs. Methods We used molecular docking to screen 30,438 compounds from Traditional Chinese Medicine (TCM) against a comprehensive list of AD target proteins. TCM compounds in the top 0.5% of binding affinity scores for each target protein were selected as our research objects. Structural similarities between existing drugs from DrugBank database and selected TCM compounds as well as the druggability of our candidate compounds were studied. Finally, we searched the CNKI database to obtain studies on anti-AD Chinese plants from 2007 to 2017, and only clinical studies were included. Results A total of 1,476 compounds (top 0.5%) were selected as drug candidates. Most of these compounds are abundantly found in plants used for treating AD in China, especially the plants from two genera Panax and Morus. We classified the compounds by single target and multiple targets and analyzed the interactions between target proteins and compounds. Analysis of structural similarity revealed that 17 candidate anti-AD compounds were structurally identical to 14 existing approved drugs. Most of them have been reported to have a positive effect in AD. After filtering for compound druggability, we identified 11 anti-AD compounds with favorable properties, seven of which are found in anti-AD Chinese plants. Of 11 anti-AD compounds, four compounds 5,862, 5,863, 5,868, 5,869 have anti-inflammatory activity. The compound 28,814 mainly has immunoregulatory activity. The other six compounds have not yet been reported for any biology activity at present. Discussion Natural compounds from TCM provide a broad prospect for the screening of anti-AD drugs. In this work, we established networks to systematically study the connections among natural compounds, approved drugs, TCM plants and AD target proteins with the goal of identifying promising drug candidates. We hope that our study will facilitate in-depth research for the treatment of AD in Chinese medicine.
机译:背景技术阿尔茨海默病(AD)是最终的致命退行性脑障碍,对健康和社会护理系统具有越来越大的负担。市场上只有五种毒品,多年来没有发现新的有效药物。中国药用植物已被用于治疗疾病成千上万年,并筛查草药补救措施是一种开发新药的一种方式。方法采用分子对接,将30,438种来自中药(TCM)的筛选30,438型化合物免于综合AD靶蛋白清单。选择每种靶蛋白的结合亲和力分数的顶部0.5%的TCM化合物作为我们的研究对象。研究了药物营业数据库的现有药物与选定的中药化合物的结构相似性以及我们候选化合物的可耐药性。最后,我们搜查了CNKI数据库,从2007年到2017年获得了对反向中国工厂的研究,并且只有临床研究。结果共选出1,476种化合物(0.5%)作为药物候选物。这些化合物中的大多数大多数在用于治疗中国的植物中,尤其是来自两个属Panax和Morus的植物。我们通过单靶点和多个靶标的化合物分类,并分析了靶蛋白和化合物之间的相互作用。结构相似性分析显示,17个候选抗Ad化合物在结构上与14种现有批准的药物相同。据报道,大多数人都曾在广告中产生积极影响。过滤化合物可脱毒性后,我们鉴定了具有良好性质的抗Ad化合物,其中7种抗AD中国植物中存在。在11个抗Ad化合物中,四种化合物5,862,5,863,5,868,5,869具有抗炎活性。化合物28,814主要具有免疫调节活性。尚未向目前的任何生物学活动报告其他六种化合物。来自中医的自然化合物为抗AD药物筛查提供了广阔的前景。在这项工作中,我们建立了系统地研究了天然化合物,批准的药物,中医植物和AD靶蛋白之间的连接,以识别有前途的药物候选者。我们希望我们的研究能够促进中医治疗广告的深入研究。

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