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通过化学信息学驱动的发现,针对Paracoccidioides spp 的有效化合物

Amanda Alves de Oliveira^1,2, Lívia do Carmo Silva², Bruno Junior Neves³

¹Institute of Tropical Pathology & Public Health, Federal University of Goiás, Goiânia, 74690-900, Brazil.

Future medicinal chemistry

|September 20, 2023

概括

计算策略识别出了新型化合物,这些化合物可以有效地对抗甲状腺核瘤. 这些有前途的抗Paracoccidioides剂显示出开发新抗真菌疗法的潜力.

科学领域:

计算化学和药物发现.
菌群学和传染病.

背景情况:

帕拉科西多伊多米科斯是一种严重的真菌感染.
开发新的,有效的治疗方法至关重要.

研究的目的:

使用计算方法发现新的抗Paracoccidioides化合物.
确定新疗法的潜在药物标.

主要方法:

组建了一个全面的化合物库,对Paracoccidioides进行了测试.
利用相似性搜索来选一个化学数据库.
实验确定化合物的疗效 (MIC,MFC) 和细胞毒性.
使用计算工具来识别目标.

主要成果:

在9种选的化合物中,有7种表现出对Paracoccidioides物种的活性.
已确定活性化合物的最小抑制和杀菌度.
评估化合物的确定细胞毒性概况.

结论:

发现了具有抗Paracoccidioides活性的新型"打击"化合物.
对已识别的化合物预测的作用机制.
这些化合物代表了开发新型帕拉科西多伊多米科斯治疗的有希望的线索.

关键词:

这是一种抗真菌药物.发现药物的发现.在的中.帕拉科科西迪奥伊多米科西斯目标目标目标目标

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