评估理化性质-活性关系并发现可作为 PIM1 激酶抑制剂的新型 1,2-二氢吡啶衍生物:来自主成分分析、分子对接和分子动力学研究的证据

Pharmaceuticals Pub Date : 2024-07-03 DOI:10.3390/ph17070880
Hanna Dib, Mahmoud Abu-samha, K. Younes, Mohamed A. O. Abdelfattah
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引用次数: 0

摘要

在本研究中,我们评估了由 30 种 1,2-二氢吡啶衍生物组成的数据集的理化性质,这些理化性质与之前报道的抗癌活性有关。我们利用主成分分析法(PCA)找出了最重要的影响因素。PCA 分析表明,前两个主成分占总方差的 59.91%,表明分子与特定描述因子之间存在很强的相关性。在分析的 239 个描述因子中,有 18 个与抗癌活性呈正相关,并根据 IC50 值与 12 个活性最高的化合物聚集在一起。其中六个变量--LogP、Csp3、b_1rotN、LogS、TPSA 和 lip_don- 与药物相似性潜力有关。因此,我们根据这六个变量对 12 个化合物进行了排序,并排除了那些违反药物相似性标准的化合物,最终筛选出 9 个化合物。接下来,我们利用分子对接法研究了这 9 个入围化合物与 PIM-1 激酶(PDB:2OBJ)的结合亲和力。在对接的化合物中,化合物 6 的对接得分最高,为 -11.77 kcal/mol,而参考 PIM-1 激酶抑制剂 6-(5-溴-2-羟基苯基)-2-氧代-4-苯基-1,2-二氢吡啶-3-甲腈的对接得分为 -12.08 kcal/mol。为了发现新的 PIM-1 激酶抑制剂,我们设计了九种具有化合物 6 和参考抑制剂混合结构的新型化合物。其中,化合物 31 显示出最佳的结合亲和力,对接得分为 -13.11 kcal/mol。此外,我们还利用化合物 6 的结构和相似性搜索工具进行了 PubChem 数据库挖掘,发现了 16 个结构相关的化合物,这些化合物据报道具有不同的生物学特性。其中,化合物 52 表现出最佳的结合亲和力,对接得分为 -13.03 kcal/mol。最后,进行了分子动力学(MD)研究,以确认将所研究的化合物与 PIM-1 激酶对接后得到的蛋白质-配体复合物的稳定性,从而验证了这些化合物作为 PIM-1 激酶抑制剂的潜力。
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Evaluating the Physicochemical Properties–Activity Relationship and Discovering New 1,2-Dihydropyridine Derivatives as Promising Inhibitors for PIM1-Kinase: Evidence from Principal Component Analysis, Molecular Docking, and Molecular Dynamics Studies
In this study, we evaluated the physicochemical properties related to the previously reported anticancer activity of a dataset comprising thirty 1,2-dihydropyridine derivatives. We utilized Principal Component Analysis (PCA) to identify the most significant influencing factors. The PCA analysis showed that the first two principal components accounted for 59.91% of the total variance, indicating a strong correlation between the molecules and specific descriptors. Among the 239 descriptors analyzed, 18 were positively correlated with anticancer activity, clustering with the 12 most active compounds based on their IC50 values. Six of these variables—LogP, Csp3, b_1rotN, LogS, TPSA, and lip_don—are related to drug-likeness potential. Thus, we then ranked the 12 compounds according to these six variables and excluded those violating the drug-likeness criteria, resulting in a shortlist of nine compounds. Next, we investigated the binding affinity of these nine shortlisted compounds with the use of molecular docking towards the PIM-1 Kinase enzyme (PDB: 2OBJ), which is overexpressed in various cancer cells. Compound 6 exhibited the best docking score among the docked compounds, with a docking score of −11.77 kcal/mol, compared to −12.08 kcal/mol for the reference PIM-1 kinase inhibitor, 6-(5-bromo-2-hydroxyphenyl)-2-oxo-4-phenyl-1,2-dihydropyridine-3-carbonitrile. To discover new PIM-1 kinase inhibitors, we designed nine novel compounds featuring hybrid structures of compound 6 and the reference inhibitor. Among these, compound 31 displayed the best binding affinity, with a docking score of −13.11 kcal/mol. Additionally, we performed PubChem database mining using the structure of compound 6 and the similarity search tool, identifying 16 structurally related compounds with various reported biological properties. Among these, compound 52 exhibited the best binding affinity, with a docking score of −13.03 kcal/mol. Finally, molecular dynamics (MD) studies were conducted to confirm the stability of the protein–ligand complexes obtained from docking the studied compounds to PIM-1 kinase, validating the potential of these compounds as PIM-1 kinase inhibitors.
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