da Silva Marília Cecília, Viana Jéssika de Oliveira, Olegário Tayná Rodrigues, Sabino Jayne Maria, Barbosa Euzébio Guimarães, Chaves Elton José Ferreira, Rocha Gerd Bruno, Lima-Junior Claudio Gabriel, Weber Karen Cacilda
Computational Quantum Chemistry Laboratory, Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.
Medicinal Organic Synthesis Laboratory of Paraíba (LASOM-PB), Department of Chemistry, Federal University of Paraíba, João Pessoa, Brazil.
Front Pharmacol. 2025 Jul 21;16:1621059. doi: 10.3389/fphar.2025.1621059. eCollection 2025.
Leishmaniasis remains a major neglected tropical disease, and new therapeutic strategies are urgently needed. This study aimed to identify the molecular target of 2-aryl-quinoline-4-carboxylic acid derivatives and assess their pharmacokinetic profiles.
An integrated workflow was employed, including inverse virtual screening (IVS), molecular docking, molecular dynamics (MD) simulations, and ligand-based similarity searches in public chemical databases. Pharmacokinetic and toxicity predictions were also performed.
IVS highlighted N-myristoyltransferase (NMT) as the most frequent high-affinity target. Docking and MD simulations demonstrated stable binding of selected compounds, with compound showing the highest docking scores and compound displaying enhanced affinity after conformational relaxation of the enzyme. Ligand-based similarity search confirmed the superior predicted binding affinity of the studied compounds compared to known molecules. Most derivatives exhibited favorable predicted pharmacokinetic properties and comparable or improved profiles relative to DDD85646.
These results support the potential of the 2-aryl-quinoline-4-carboxylic acid scaffold as a basis for the development of novel NMT inhibitors with promising pharmacokinetic properties, paving the way for further experimental validation.
利什曼病仍然是一种主要的被忽视热带病,迫切需要新的治疗策略。本研究旨在确定2-芳基喹啉-4-羧酸衍生物的分子靶点并评估其药代动力学特征。
采用了一个综合工作流程,包括反向虚拟筛选(IVS)、分子对接、分子动力学(MD)模拟以及在公共化学数据库中基于配体的相似性搜索。还进行了药代动力学和毒性预测。
IVS突出显示N-肉豆蔻酰转移酶(NMT)是最常见的高亲和力靶点。对接和MD模拟表明所选化合物具有稳定的结合,化合物显示出最高的对接分数,化合物在酶构象松弛后显示出增强的亲和力。基于配体的相似性搜索证实了所研究化合物相对于已知分子具有更高的预测结合亲和力。大多数衍生物表现出良好的预测药代动力学性质,并且相对于DDD85646具有相当或改善的特征。
这些结果支持2-芳基喹啉-4-羧酸支架作为开发具有良好药代动力学性质的新型NMT抑制剂基础的潜力,为进一步的实验验证铺平了道路。