可解释的定量结构-活性关系 (QSAR) 用于识别对Candida albicansATCC 2091的强抗真菌活性剂
Mariusz Zapadka1, Krzysztof Zbigniew Łączkowski2, Anna Budzyńska3
1Department of Inorganic and Analytical Chemistry, Nicolaus Copernicus University in Toruń, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Jurasza 2, 85-089, Bydgoszcz, Poland. mariusz.zapadka@cm.umk.pl.
Molecular diversity
|November 28, 2025
概括
这项研究开发了一种QSAR模型,用于4-aryl-2-hydrazinothiazole衍生物中的抗真菌活性. 该模型确定了关键的结构特征,有助于设计新的抗真菌剂,以打击耐药性.
科学领域:
- 药用化学 医学化学
- 计算化学计算化学
- 药理学 药理学是指药理学的学科.
背景情况:
- 真菌感染构成了日益增长的全球健康威胁.
- 增加抗真菌耐药性需要新的治疗策略.
- 由于耐药性,现有的治疗方法越来越无效.
研究的目的:
- 对4-aryl-2-hydrazinothiazole衍生物进行定量结构-活性关系 (QSAR) 分析.
- 为了确定与抗真菌活性相关的分子描述剂.
- 开发一种用于设计新抗真菌化合物的预测模型.
主要方法:
- 采用混合定量结构-活动关系 (QSAR) 方法,结合遗传算法 (GA) 和多重线性回归 (MLR).
- 使用交叉验证和外部测试集验证了QSAR模型.
- 使用原子对分布,亚结构分析和分子表面映射来解释分子描述器.
主要成果:
- 确定了抗真菌活性 (pMIC) 和描述剂RDF100e,ITH,R4m+,RDF120s和GATS8e之间的负相关性.
- 突出了N1-氨酸和C4碎片在 thiazole 核上的空间布局的重要性.
- 揭示了范德瓦尔斯相互作用,电子负原子和电子捐赠群体影响抗真菌功效.
结论:
- 开发的QSAR模型提供了对抗真菌活性结构要求的见解.
- 该研究确定了关键的分子特征和相互作用,这些特征和相互作用对于设计有力的抗真菌剂至关重要.
- 使用ARKA方法来提高可解释性,并管理小型数据集的描述符维度.
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