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揭示六种强效且高选择性的抗利什曼原虫化合物,这些化合物来自开源化合物库“病原体盒”,可对抗对锑敏感和耐药的巴西利什曼原虫。

Unveiling six potent and highly selective antileishmanial agents via the open source compound collection 'Pathogen Box' against antimony-sensitive and -resistant Leishmania braziliensis.

机构信息

Instituto René Rachou - Fiocruz Minas, Av. Augusto de Lima, 1715, Belo Horizonte, 30190-009, MG, Brazil.

Structural Biology and Bioinformatics, Department of Biochemistry and Molecular Biology, The University of Melbourne, Bio21 Institute, 30 Flemington Rd, Parkville, VIC 3052, Melbourne, Australia; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, VIC 3004, Melbourne, Australia.

出版信息

Biomed Pharmacother. 2021 Jan;133:111049. doi: 10.1016/j.biopha.2020.111049. Epub 2020 Dec 4.

Abstract

Despite all efforts to provide new chemical entities to tackle leishmaniases, we are still dependent on a the limited drug arsenal, together with drawbacks like toxicity and drug-resistant parasites. Collaborative drug discovery emerged as an option to speed up the way to find alternative antileishmanial agents. This is the case of Medicines for Malaria Ventures - MMV, that promotes an open source drug discovery initiative to fight diseases worldwide. Here, we screened 400 compounds from 'Pathogen Box' (PBox) collection against Leishmania braziliensis, the main etiological agent of cutaneous leishmaniasis in Brazil. Twenty-three compounds were able to inhibit ≥ 80 % L. braziliensis growth at 5 μM. Six out of the PBox selected 23 compounds were found to be highly selective against L. braziliensis intracellular amastigotes with selectivity index varying from > 104 to > 746 and ICs ranging from 47 to 480 nM. The compounds were also active against antimony-resistant L. braziliensis isolated from the field or laboratory selected mutants, revealing the potential on treating patients infected with drug resistant parasites. Most of the selected compounds were known to be active against kinetoplastids, however, two compounds (MMV688703 and MMV676477) were part of toxoplasmosis and tuberculosis 'PBox' disease set, reinforcing the potential of phenotyping screening to unveil drug repurposing. Here we applied a computational prediction of pharmacokinetic properties using the ADMET predictor pkCSM (http://biosig.unimelb.edu.au/pkcsm/). The tool offered clues on potential drug development needs and can support further in vivo studies. Molecular docking analysis identified CRK3 (LbrM.35.0660), CYP450 (LbrM.30.3580) and PKA (LbrM.18.1180) as L. braziliensis targets for MMV676604, MMV688372 and MMV688703, respectively. Compounds from 'Pathogen Box' thus represents a new hope for novel (or repurposed) small molecules source to tackle leishmaniases.

摘要

尽管我们竭尽全力提供新的化学实体来治疗利什曼病,但我们仍然依赖于有限的药物库,同时还存在毒性和耐药寄生虫等问题。协作药物发现已成为加速寻找替代抗利什曼原虫药物的一种选择。这就是疟疾药物开发公司 - MMV 的情况,该公司促进了一个开源药物发现计划,以在全球范围内对抗疾病。在这里,我们筛选了 400 种来自“病原体盒”(PBox)库的化合物,针对巴西皮肤利什曼病的主要病因利什曼原虫巴西利什曼原虫。有 23 种化合物在 5μM 时能够抑制≥80%的 L. braziliensis 生长。从 PBox 中选择的 23 种化合物中有 6 种对 L. braziliensis 细胞内无鞭毛体具有高度选择性,选择性指数从>104 到>746 不等,IC 范围从 47 到 480 nM。这些化合物对来自野外或实验室选择的突变体的抗锑耐药 L. braziliensis 也具有活性,这表明它们有可能治疗感染耐药寄生虫的患者。大多数选定的化合物已知对动质体有效,但是两种化合物(MMV688703 和 MMV676477)是弓形虫病和结核病“PBox”疾病集的一部分,这增强了表型筛选揭示药物再利用的潜力。在这里,我们使用 ADMET 预测器 pkCSM(http://biosig.unimelb.edu.au/pkcsm/)进行了药物代谢动力学特性的计算预测。该工具提供了有关潜在药物开发需求的线索,并可以支持进一步的体内研究。分子对接分析确定 CRK3(LbrM.35.0660),CYP450(LbrM.30.3580)和 PKA(LbrM.18.1180)分别为 MMV676604,MMV688372和 MMV688703的利什曼原虫靶点。来自“病原体盒”的化合物代表了针对利什曼病的新型(或重新利用)小分子来源的新希望。

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