Lorenzo Vitor Prates, Lúcio Ana Silvia Suassuna Carneiro, Scotti Luciana, Tavares Josean Fechine, Filho José Maria Barbosa, Lima Tatjana Keesen de Souza, Rocha Juliana da Câmara, Scotti Marcus Tullius
Department of Engineering, and the Environment, Federal University of Paraíba, 58051-970, Rio Tinto, Brazil.
Curr Pharm Des. 2016;22(34):5196-5203. doi: 10.2174/1381612822666160513144853.
Leishmaniasis is a neglected disease that affects 15 million people around the world. Many limitations are associated to the treatment as high cost and toxicity. Several classes of natural substances with proven leishmanicidal activity were reported in the literature. Phytochemsitry study of Anaxagorea dolichocarpa (Annonacea) reported the isolation of aporphine alkaloids.
In this study, we evaluate the potential activity of the azaphenanthrene alkaloids eupolaramine, imbiline 1, imbiline 4, sampangine, 3-metoxisampangine and 4- metoxisampangine, isolated from A. dolichocarpa, together with a homemade databank of 142 aporphynic alkaloids isolated from Annonaceae, through ligand-based and structurebased virtual screening (VS) against Leishmania donovani. A diverse set selected from CHEMBL databank of 1397 structures, with tested antileishmanial activity against promastigote L. donovani, were classified according pIC50 values in order to generate and validate Random Forest model that show higher statistical indices values. The structure of six different L. donovani enzymes were downloaded from PDB databank and alkaloids structures were submitted to molecular docking.
From the six azaphenanthrene alkaloids, sampangine, 3-methoxy, and 4-methoxy were indicated as potential actives by the RF model. Docking results gave similar values for all six azaphenanthrene alkaloids. So, we performed in vitro tests with sampangine, imbiline 1, imbiline 4, and eupolaramine, which are available in our laboratory, and that show significant values of pIC50 (> 5.26).
Combined approach of VS allowed us to select that aporphynic alkaloid xyloguyelline as potential multitarget compound for leishmanial treatment, presenting activity against five strategic enzymes to treatment with probability of activity over 60% by RF model.
利什曼病是一种被忽视的疾病,全球有1500万人受其影响。该疾病的治疗存在许多局限性,如成本高和毒性大。文献报道了几类具有已证实的杀利什曼活性的天然物质。对多果阿诺樟(番荔枝科)的植物化学研究报道了阿朴啡生物碱的分离。
在本研究中,我们通过基于配体和基于结构的虚拟筛选(VS),评估了从多果阿诺樟中分离出的氮杂菲生物碱优波拉明、因比林1、因比林4、三胖碱、3-甲氧基三胖碱和4-甲氧基三胖碱,以及从番荔枝科分离出的142种阿朴啡生物碱的自制数据库对杜氏利什曼原虫的潜在活性。从CHEMBL数据库中选择了1397个具有对杜氏利什曼原虫前鞭毛体的抗利什曼活性测试结构的多样化集合,根据pIC50值进行分类,以生成和验证显示更高统计指标值的随机森林模型。从蛋白质数据银行(PDB)数据库下载了六种不同的杜氏利什曼原虫酶的结构,并将生物碱结构进行分子对接。
随机森林模型表明,六种氮杂菲生物碱中的三胖碱、3-甲氧基和4-甲氧基为潜在活性物质。对接结果显示六种氮杂菲生物碱的值相似。因此,我们对实验室中可得的三胖碱、因比林1、因比林4和优波拉明进行了体外测试,其pIC50值具有显著意义(>5.26)。
虚拟筛选的联合方法使我们能够选择阿朴啡生物碱木洛圭林作为利什曼病治疗的潜在多靶点化合物,其对五种治疗关键酶具有活性,随机森林模型显示其活性概率超过60%。