Brittin Nathaniel J, Aceti David J, Braun Doug R, Anderson Josephine M, Ericksen Spencer S, Rajski Scott R, Currie Cameron R, Andes David R, Bugni Tim S
Pharmaceutical Sciences Division, University of Wisconsin-Madison, Madison, WI 53705, USA.
Lachman Institute for Pharmaceutical Development, University of Wisconsin-Madison, Madison, WI 53705, USA.
Molecules. 2024 Dec 28;30(1):77. doi: 10.3390/molecules30010077.
Recently expanded reports of multidrug-resistant fungal infections underscore the need to develop new and more efficient methods for antifungal drug discovery. A ubiquitous problem in natural product drug discovery campaigns is the rediscovery of known compounds or their relatives; accordingly, we have integrated Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) for structural dereplication and Yeast Chemical Genomics for bioprocess evaluation into a screening platform to identify such compounds early in the screening process. We identified 450 fractions inhibiting and the resistant strains of and among more than 40,000 natural product fractions. LC-MS/MS and chemical genomics were then used to identify those with known chemistry and mechanisms of action. The parallel deployment of these orthogonal methods improved the detection of unwanted compound classes over the methods applied individually.
近期关于多重耐药真菌感染的报道不断增加,这凸显了开发新的、更有效的抗真菌药物发现方法的必要性。天然产物药物发现活动中一个普遍存在的问题是已知化合物或其类似物的重新发现;因此,我们将用于结构去重复的液相色谱-串联质谱法(LC-MS/MS)和用于生物过程评估的酵母化学基因组学整合到一个筛选平台中,以便在筛选过程的早期识别此类化合物。我们在40000多个天然产物组分中鉴定出450个对白色念珠菌及其耐药菌株有抑制作用的组分。然后使用LC-MS/MS和化学基因组学来鉴定那些具有已知化学结构和作用机制的组分。与单独应用的方法相比,这些正交方法的并行部署提高了对不需要的化合物类别的检测能力。