Dual Targeting of CXCR4 and CXCL12 by 1,2,4-Triazole Derivatives: A Computational Approach Against Lung Cancer Metastasis.

IF 1.7 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Iranian Journal of Pharmaceutical Research Pub Date : 2026-08-18 eCollection Date: 2026-01-01 DOI:10.5812/ijpr-171955
Yeni Yeni, Fransiska Kurniawan, Benny Permana, Daryono Hadi Tjahjono
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引用次数: 0

Abstract

Background: Migration of lung cancer cells to distant sites is largely mediated by the CXCR4/CXCL12 axis. Meanwhile, 1,2,4-triazole derivatives have shown antiproliferative activity in lung cancer and have been reported to inhibit metastasis in pancreatic and breast cancer.

Objectives: This study aimed to screen 1,2,4-triazole derivatives with high potential to target the CXCR4/CXCL12 axis associated with lung cancer metastasis using multiple computational methods.

Methods: A total of 79 1,2,4-triazole derivatives were screened using ligand-based pharmacophore modeling (LigandScout Essential 4.4.9) and molecular docking (AutoDock 4.2.6). Molecular dynamics (MD) simulations were then performed using GROMACS 2021.4 to further characterize protein-ligand interactions. Finally, compound safety, biological behavior, and drug-development feasibility were evaluated using toxicity prediction (ProTox 3.0) and pharmacokinetic and drug-likeness assessments (pkCSM).

Results: Sixteen derivatives (D41-D51 and D53-D57) matched the CXCR4 and CXCL12 pharmacophore models. The CXCR4 model (model 8) comprised two hydrophobic features, one aromatic ring, and one hydrogen bond donor, whereas the CXCL12 model (model 3) included one hydrophobic feature, two aromatic rings, and three hydrogen bond acceptors. Docking studies against CXCR4 and CXCL12 indicated that D54 and D57 had more favorable predicted docking scores than mavorixafor (a CXCR4 inhibitor) and LIT-927 (a CXCL12 inhibitor). These findings were supported by MD simulations, as indicated by stable root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), solvent-accessible surface area (SASA), hydrogen bond (H-bond) occupancy, and Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) results. Toxicity and pharmacokinetic predictions suggested that D54 and D57 had both favorable properties and potential liabilities.

Conclusions: Compounds D54 and D57 were computationally prioritized as promising 1,2,4-triazole derivatives targeting the CXCR4/CXCL12 axis for further investigation in lung cancer metastasis. However, their predicted toxicity, pharmacokinetic, and drug-likeness profiles revealed several limitations that warrant further optimization and experimental validation.

1,2,4-三唑衍生物双重靶向CXCR4和CXCL12:肺癌转移的计算方法
背景:肺癌细胞向远处的迁移主要是由CXCR4/CXCL12轴介导的。同时,1,2,4-三唑衍生物在肺癌中显示出抗增殖活性,并被报道抑制胰腺癌和乳腺癌的转移。目的:本研究旨在通过多种计算方法筛选具有高潜力的靶向肺癌转移相关CXCR4/CXCL12轴的1,2,4-三唑类衍生物。方法:采用基于配体的药效基团建模软件(LigandScout Essential 4.4.9)和分子对接软件(AutoDock 4.2.6)对79个1,2,4-三唑类衍生物进行筛选。然后使用GROMACS 2021.4进行分子动力学(MD)模拟,进一步表征蛋白质与配体的相互作用。最后,采用毒性预测(ProTox 3.0)、药代动力学和药物相似性评估(pkCSM)对化合物的安全性、生物学行为和药物开发可行性进行评价。结果:16个衍生物(D41-D51和D53-D57)与CXCR4和CXCL12药效团模型匹配。CXCR4模型(模型8)包括两个疏水特征、一个芳香环和一个氢键供体,而CXCL12模型(模型3)包括一个疏水特征、两个芳香环和三个氢键受体。对CXCR4和CXCL12的对接研究表明,D54和D57比mavorixafor(一种CXCR4抑制剂)和lit927(一种CXCL12抑制剂)具有更有利的对接预测评分。这些发现得到了MD模拟的支持,包括稳定的均方根偏差(RMSD)、均方根波动(RMSF)、旋转半径(Rg)、溶剂可及表面积(SASA)、氢键占用率(h -键)和分子力学泊松-玻尔兹曼表面积(MM-PBSA)结果。毒性和药代动力学预测表明,D54和D57既有良好的性质,也有潜在的缺点。结论:化合物D54和D57可作为靶向CXCR4/CXCL12轴的1,2,4-三唑衍生物,在肺癌转移研究中具有较好的应用前景。然而,他们预测的毒性、药代动力学和药物相似谱显示出一些局限性,需要进一步优化和实验验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.40
自引率
6.20%
发文量
52
审稿时长
2 months
期刊介绍: The Iranian Journal of Pharmaceutical Research (IJPR) is a peer-reviewed multi-disciplinary pharmaceutical publication, scheduled to appear quarterly and serve as a means for scientific information exchange in the international pharmaceutical forum. Specific scientific topics of interest to the journal include, but are not limited to: pharmaceutics, industrial pharmacy, pharmacognosy, toxicology, medicinal chemistry, novel analytical methods for drug characterization, computational and modeling approaches to drug design, bio-medical experience, clinical investigation, rational drug prescribing, pharmacoeconomics, biotechnology, nanotechnology, biopharmaceutics and physical pharmacy.
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