LIMAS, Department of Chemical Sciences, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco.
Biophysics Department, Faculty of Science, Cairo University, Giza, Egypt.
J Biomol Struct Dyn. 2024 Sep;42(14):7574-7599. doi: 10.1080/07391102.2023.2240413. Epub 2023 Aug 4.
In this study, we used phenylpyrimidine derivatives with known biological activity against JAK3, a critical tyrosine kinase enzyme involved in signaling pathways, to find similar compounds as potential treatments for rheumatoid arthritis. These inhibitors inhibited JAK3 activity by forming a covalent bond with the Cys909 residue, which resulted in a strong inhibitory effect. Phenylpyrimidine is considered a promising therapeutic target. For pharmacophore modeling, 39 phenylpyrimidine derivatives with high pIC50 (Exp) values were chosen. The best pharmacophore model produced 28 molecules, and the five-point common pharmacophore hypothesis from P HASE (DHRRR_1) revealed the requirement for a hydrogen bond donor feature, a hydrophobic group feature, and three aromatic ring features for further design. The validation of the pharmacophore model phase was performed through 3D-QSAR using partial least squares (P LS). The 3D-QSAR study produced two successful models, an atom-based model (R2 = 0.95; Q2 = 0.67) and a field-based model (R2 = 0.93; Q2 = 0.76), which were used to predict the biological activity of new compounds. The pharmacophore model successfully distinguished between active and inactive medications, discovered potential JAK3 inhibitors, and demonstrated validity with a ROC of 0. 77. ADME-Tox was used to eliminate compounds that might have adverse effects. The best pharmacokinetics and affinity derivatives were selected for covalent docking. A molecular dynamics simulation of the selected molecules and the protein complex was performed to confirm the stability of the interaction with JAK3, whereas MM/GBSA simulations further confirmed their binding affinity. By using the principle of retrosynthesis, we were able to map out a pathway for synthesizing these potential drug candidates. This study has the potential to offer valuable and practical insights for optimizing novel derivatives of phenylpyrimidine.Communicated by Ramaswamy H. Sarma.
在这项研究中,我们使用了具有已知生物活性的苯嘧啶衍生物来抑制 JAK3,JAK3 是一种参与信号通路的关键酪氨酸激酶酶,以寻找类似的化合物作为类风湿关节炎的潜在治疗方法。这些抑制剂通过与 Cys909 残基形成共价键来抑制 JAK3 活性,从而产生强烈的抑制作用。苯嘧啶被认为是一种有前途的治疗靶点。为了进行药效团建模,选择了 39 种具有高 pIC50(Exp)值的苯嘧啶衍生物。最佳药效团模型产生了 28 个分子,而从 P HASE(DHRRR_1)得出的五点共同药效团假说揭示了对氢键供体特征、疏水基团特征和三个芳环特征的需求,以便进一步设计。药效团模型的相位验证是通过使用偏最小二乘法(P LS)进行的 3D-QSAR 来完成的。3D-QSAR 研究产生了两个成功的模型,一个基于原子的模型(R2 = 0.95;Q2 = 0.67)和一个基于场的模型(R2 = 0.93;Q2 = 0.76),用于预测新化合物的生物活性。药效团模型成功地区分了活性和非活性药物,发现了潜在的 JAK3 抑制剂,并通过 ROC 为 0.77 证明了其有效性。ADME-Tox 用于消除可能有不良反应的化合物。选择具有最佳药代动力学和亲和力的衍生物进行共价对接。对所选分子和蛋白质复合物进行分子动力学模拟,以确认与 JAK3 相互作用的稳定性,而 MM/GBSA 模拟进一步证实了它们的结合亲和力。通过使用逆合成原理,我们能够规划出合成这些潜在药物候选物的途径。这项研究有可能为优化新型苯嘧啶衍生物提供有价值和实用的见解。由 Ramaswamy H. Sarma 交流。