Abadio Ana Karina Rodrigues, Kioshima Erika Seki, Leroux Vincent, Martins Natalia Florêncio, Maigret Bernard, Felipe Maria Sueli Soares
Department of Biology, University of Mato Grosso State - UNEMAT, Nova Xavantina, Mato Grosso, Brazil.
Department of Clinical Analysis and Biomedicine, State University of Maringá, Maringá, Paraná, Brazil.
PLoS One. 2015 Nov 16;10(11):e0142926. doi: 10.1371/journal.pone.0142926. eCollection 2015.
The prevalence of invasive fungal infections worldwide has increased in the last decades. The development of specific drugs targeting pathogenic fungi without producing collateral damage to mammalian cells is a daunting pharmacological challenge. Indeed, many of the toxicities and drug interactions observed with contemporary antifungal therapies can be attributed to "nonselective" interactions with enzymes or cell membrane systems found in mammalian host cells. A computer-aided screening strategy against the TRR1 protein of Paracoccidioides lutzii is presented here. Initially, a bank of commercially available compounds from Life Chemicals provider was docked to model by virtual screening simulations. The small molecules that interact with the model were ranked and, among the best hits, twelve compounds out of 3,000 commercially-available candidates were selected. These molecules were synthesized for validation and in vitro antifungal activity assays for Paracoccidioides lutzii and P. brasiliensis were performed. From 12 molecules tested, 3 harbor inhibitory activity in antifungal assays against the two pathogenic fungi. Corroborating these findings, the molecules have inhibitory activity against the purified recombinant enzyme TRR1 in biochemical assays. Therefore, a rational combination of molecular modeling simulations and virtual screening of new drugs has provided a cost-effective solution to an early-stage medicinal challenge. These results provide a promising technique to the development of new and innovative drugs.
在过去几十年中,侵袭性真菌感染在全球的患病率有所上升。开发针对致病真菌且不会对哺乳动物细胞造成附带损害的特效药物是一项艰巨的药理学挑战。事实上,当代抗真菌疗法中观察到的许多毒性和药物相互作用可归因于与哺乳动物宿主细胞中发现的酶或细胞膜系统的“非选择性”相互作用。本文介绍了一种针对鲁氏副球孢子菌TRR1蛋白的计算机辅助筛选策略。最初,通过虚拟筛选模拟将来自Life Chemicals供应商的一批市售化合物对接至模型。对与该模型相互作用的小分子进行排序,在最佳命中物中,从3000种市售候选物中选择了12种化合物。合成这些分子用于验证,并对鲁氏副球孢子菌和巴西副球孢子菌进行体外抗真菌活性测定。在测试的12种分子中,有3种在针对这两种致病真菌的抗真菌试验中具有抑制活性。这些发现得到了生化试验中这些分子对纯化的重组酶TRR1具有抑制活性的证实。因此,分子模拟和新药虚拟筛选的合理结合为早期药物研发挑战提供了一种经济高效的解决方案。这些结果为新型创新药物的开发提供了一种有前景的技术。