Suppr超能文献

弓形虫中TgCDPK1抑制剂的定量构效关系建模与分子对接研究

Quantitative Structure-Activity Relationship Modeling and Molecular Docking Studies of TgCDPK1 Inhibitors in Toxoplasma gondii.

作者信息

Lesani Sara, Tavalla Mehdi, Eslami Gilda, Boozhmehrani Mohammad J

机构信息

Department of Parasitology and Mycology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Department of Medical Parasitology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

出版信息

Microbiologyopen. 2025 Aug;14(4):e70039. doi: 10.1002/mbo3.70039.

Abstract

Toxoplasma gondii is a globally prevalent protozoan parasite responsible for severe health complications, particularly in immunocompromised individuals and during congenital infections. Existing treatments are limited by suboptimal efficacy and significant side effects, highlighting the urgent need for novel therapeutic strategies. Calcium-dependent protein kinase 1 (TgCDPK1) has emerged as a promising drug target due to its critical role in T. gondii pathogenesis and structural divergence from human kinases. This study integrates quantitative structure-activity relationship (QSAR) modeling and molecular docking to identify and prioritize potent TgCDPK1 inhibitors. A robust QSAR model was developed from a data set of 152 ligands, leveraging a systematic feature selection process to identify 23 key molecular descriptors predictive of inhibitory activity (R = 0.895, R² = 0.802). Molecular docking studies further characterized the binding interactions of top-ranked ligands, revealing strong binding affinities and favorable ADMET profiles. Notably, compound L03, identified as a substituted imidazopyrimidine derivative, demonstrated exceptional binding energy (-176.794 kcal/mol) and stability within the TgCDPK1 active site. Key interactions with Asp210(A) through hydrogen bonds and hydrophobic contacts were instrumental in its high binding affinity, underscoring its potential as a lead compound. These findings provide a comprehensive framework for rational drug design, combining computational approaches to accelerate the discovery of selective and efficacious anti-toxoplasma agents targeting TgCDPK1. This integrated methodology represents a significant advancement toward addressing the unmet clinical needs of toxoplasmosis treatment.

摘要

刚地弓形虫是一种全球流行的原生动物寄生虫,可导致严重的健康并发症,尤其是在免疫功能低下的个体以及先天性感染期间。现有治疗方法受到疗效欠佳和显著副作用的限制,凸显了对新型治疗策略的迫切需求。钙依赖性蛋白激酶1(TgCDPK1)因其在刚地弓形虫发病机制中的关键作用以及与人激酶的结构差异,已成为一个有前景的药物靶点。本研究整合定量构效关系(QSAR)建模和分子对接,以识别并优先筛选出有效的TgCDPK1抑制剂。利用152种配体的数据集开发了一个稳健的QSAR模型,通过系统的特征选择过程确定了23个预测抑制活性的关键分子描述符(R = 0.895,R² = 0.802)。分子对接研究进一步表征了排名靠前的配体的结合相互作用,揭示了强结合亲和力和良好的药物代谢动力学性质。值得注意的是,被鉴定为取代咪唑并嘧啶衍生物的化合物L03在TgCDPK1活性位点表现出异常的结合能(-176.794 kcal/mol)和稳定性。通过氢键和疏水接触与Asp210(A)的关键相互作用对其高结合亲和力起到了重要作用,突出了其作为先导化合物的潜力。这些发现为合理药物设计提供了一个全面的框架,结合计算方法以加速发现针对TgCDPK1的选择性和有效的抗弓形虫药物。这种综合方法代表了在满足弓形虫病治疗未满足的临床需求方面的重大进展。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验