Departamento de Química Orgánica e Inorgánica, Facultad de Ciencia y Tecnología, Universidad Del País Vasco / Euskal Herriko Unibertsitatea UPV/EHU, Apdo. 644, 48080, Bilbao, Spain.
Departamento de Química Orgánica e Inorgánica, Facultad de Ciencia y Tecnología, Universidad Del País Vasco / Euskal Herriko Unibertsitatea UPV/EHU, Apdo. 644, 48080, Bilbao, Spain; RNASA-IMEDIR, Computer Science Faculty, University of A Coruña, 15071, A Coruña, Spain; Universidad Estatal Amazónica UEA, Puyo, 160150, Pastaza, Ecuador.
Eur J Med Chem. 2021 Aug 5;220:113458. doi: 10.1016/j.ejmech.2021.113458. Epub 2021 Apr 16.
The development of new molecules for the treatment of leishmaniasis is, a neglected parasitic disease, is urgent as current anti-leishmanial therapeutics are hampered by drug toxicity and resistance. The pyrrolo[1,2-b]isoquinoline core was selected as starting point, and palladium-catalyzed Heck-initiated cascade reactions were developed for the synthesis of a series of C-10 substituted derivatives. Their in vitro leishmanicidal activity against visceral (L. donovani) and cutaneous (L. amazonensis) leishmaniasis was evaluated. The best activity was found, in general, for the 10-arylmethyl substituted pyrroloisoquinolines. In particular, 2ad (IC = 3.30 μM, SI > 77.01) and 2bb (IC = 3.93 μM, SI > 58.77) were approximately 10-fold more potent and selective than the drug of reference (miltefosine), against L. amazonensis on in vitro promastigote assays, while 2ae was the more active compound in the in vitro amastigote assays (IC = 33.59 μM, SI > 8.93). Notably, almost all compounds showed low cytotoxicity, CC > 100 μg/mL in J774 cells, highest tested dose. In addition, we have developed the first Perturbation Theory Machine Learning (PTML) algorithm able to predict simultaneously multiple biological activity parameters (IC, K, etc.) vs. any Leishmania species and target protein, with high values of specificity (>98%) and sensitivity (>90%) in both training and validation series. Therefore, this model may be useful to reduce time and assay costs (material and human resources) in the drug discovery process.
吡咯并[1,2-b]异喹啉核心被选为起始点,并开发了钯催化的 Heck 引发级联反应,用于合成一系列 C-10 取代衍生物。它们对内脏(L. donovani)和皮肤(L. amazonensis)利什曼病的体外杀利什曼原虫活性进行了评估。一般来说,发现 10-芳甲基取代的吡咯异喹啉具有最佳活性。特别是 2ad(IC = 3.30 μM,SI > 77.01)和 2bb(IC = 3.93 μM,SI > 58.77)对体外原虫试验中的 L. amazonensis 的活性约比参考药物(米替福新)强 10 倍,而 2ae 在体外无鞭毛体试验中是更活跃的化合物(IC = 33.59 μM,SI > 8.93)。值得注意的是,几乎所有化合物在 J774 细胞中的细胞毒性均较低,CC > 100 μg/mL,为最高测试剂量。此外,我们还开发了第一个可同时预测多种生物学活性参数(IC、K 等)与任何利什曼原虫物种和靶蛋白的扰动理论机器学习(PTML)算法,在训练和验证系列中特异性(>98%)和敏感性(>90%)都很高。因此,该模型可能有助于减少药物发现过程中的时间和检测成本(材料和人力资源)。