Yi Fan, Tan Xiao-Lei, Yan Xin, Liu Hai-Bo
Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, 151 Malianwa N, Haidian District, Beijing, 100193 China ; Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine, Ministry of Education, Beijing, 100193 China.
Research Center for Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, 132 East Circle at University City, Guangzhou, 510006 China.
Chin Med. 2016 Sep 26;11:42. doi: 10.1186/s13020-016-0112-y. eCollection 2016.
Walpers (maca) is an herb known as a traditional nutritional supplement and widely used in Peru, North America, and Europe to enhance human fertility and treat osteoporosis. The secondary metabolites of maca, namely, maca alkaloids, macaenes, and macamides, are bioactive compounds, but their targets are undefined.
The pharmacophore-based PharmaDB targets database screening joint the ligand shape similarity-based WEGA validation approach is proposed to predict the targets of these unique constituents and was performed using Discovery Studio 4.5 and PharmaDB. A compounds-targets-diseases network was established using Cytoscape 3.2. These suitable targets and their genes were calculated and analyzed using ingenuity pathway analysis and GeneMANIA.
Certain targets were identified in osteoporosis (8 targets), prostate cancer (9 targets), and kidney diseases (11 targets). This was the first study to identify the targets of these bioactive compounds in maca for cardiovascular diseases (29 targets). The compound with the most targets (46) was an amide alkaloid (MA-24).
In silico target fishing identified maca's traditional effects on treatment and prevention of osteoporosis, prostate cancer, and kidney diseases, and its potential function of treating cardiovascular diseases, as the most important of this herb's possible activities.
玛咖是一种作为传统营养补充剂而闻名的草药,在秘鲁、北美和欧洲被广泛用于提高人类生育能力和治疗骨质疏松症。玛咖的次生代谢产物,即玛咖生物碱、玛咖烯和玛卡酰胺,是生物活性化合物,但其作用靶点尚不明确。
提出基于药效团的PharmaDB靶点数据库筛选联合基于配体形状相似性的WEGA验证方法来预测这些独特成分的靶点,并使用Discovery Studio 4.5和PharmaDB进行操作。使用Cytoscape 3.2建立化合物-靶点-疾病网络。使用Ingenuity Pathway Analysis和GeneMANIA对这些合适的靶点及其基因进行计算和分析。
在骨质疏松症(8个靶点)、前列腺癌(9个靶点)和肾脏疾病(11个靶点)中确定了某些靶点。这是首次针对玛咖中这些生物活性化合物对心血管疾病的靶点进行鉴定(29个靶点)。靶点最多(46个)的化合物是一种酰胺生物碱(MA-24)。
计算机虚拟靶点筛选确定了玛咖在治疗和预防骨质疏松症、前列腺癌和肾脏疾病方面的传统作用,以及其治疗心血管疾病的潜在功能,这是这种草药可能具有的最重要活性。