基于配体的化学信息学和自由能量启发的分子模拟,优先选择和优化多发性骨髓瘤治疗中g蛋白偶联受体激酶6 (GRK6)抑制剂。

Arnab Bhattacharjee, Supratik Kar, Probir Kumar Ojha
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引用次数: 0

摘要

多发性骨髓瘤(MM)是第二大最常诊断的血液系统恶性肿瘤,治疗方案有限,没有治愈潜力和显著的耐药性。最近涉及基因敲低的研究确定了GRK6在维持MM细胞活力方面的关键作用,强调了鉴定潜在抑制剂的必要性。以前没有尝试过对GRK6抑制剂的计算探索。在此,本研究报告了一个多层先导物优先排序和优化框架,使用化学计量学和分子模拟。2D QSAR研究表明,氢键和极性相互作用增强了GRK6的抑制活性,而增加的电子可及性会带来脱靶效应的风险。药物团假说(DDHRRR_1)具有2个氢键供体、1个疏水区和3个芳香环,为QSAR三维模型奠定了基础。疏水性基团,如吡啶和吡唑,增强了抑制作用,而较小的基团,如乙基和羟基,则降低了活性。利用开发的化学计量模型和分子对接串联筛选了12,557个DrugBank化合物,从而确定了7个潜在的亲本先导物,用于后续qsar引导的结构优化。通过分子对接、ADMET、分子动力学和基于主成分分析(PCA)、概率密度函数(PDF)和自由能景观(FEL)的元动力学分析,对排名前4位的铅类似物进行分析。通过累积回顾,我们提出了一种新的类似物DB07168 (DB07168- a13)(对接评分:-11.2 kcal/mol, MM- gbsa结合能:-55.2 kcal/mol)作为最有希望的GRK6抑制剂,需要进一步的体外验证,以解决MM的前瞻性治疗干预。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ligand-based cheminformatics and free energy-inspired molecular simulations for prioritizing and optimizing G-protein coupled receptor kinase-6 (GRK6) inhibitors in multiple myeloma treatment.

Multiple myeloma (MM) is the second most frequently diagnosed hematological malignancy, presenting limited treatment options with no curative potential and significant drug resistance. Recent studies involving genetic knockdown established the crucial role of GRK6 in upholding the viability of MM cells, emphasizing the need to identify potential inhibitors. Computational exploration of GRK6 inhibitors has not been attempted previously. Herein, the present study reports a multilayered lead prioritization and optimization framework using chemometrics and molecular simulations. 2D QSAR studies revealed that hydrogen bonding and polar interactions enhanced GRK6 inhibitory activity, while increased electron accessibility posed a risk of off-target effects. The pharmacophore hypothesis (DDHRRR_1) featured two hydrogen bond donors, one hydrophobic region, and three aromatic rings, laying the foundation for the 3D QSAR models. Hydrophobic groups, such as pyridine and pyrazole, were shown to enhance inhibition, while smaller groups, like ethyl and hydroxyl, reduced activity. 12,557 DrugBank compounds were screened using the developed chemometric models and molecular docking in tandem, which led to the identification of 7 potential parent leads for subsequent QSAR-guided structural optimizations. 350 lead analogs were generated and the top 4 were further analyzed using molecular docking, ADMET, molecular dynamics, and metadynamics analysis based on Principal Component Analysis (PCA), Probability Density Function (PDF), and Free Energy Landscapes (FEL). Upon cumulative retrospection, we propose a novel analog of DB07168 (DB07168-A13) (docking score: -11.2 kcal/mol, MM-GBSA binding energy: -55.2 kcal/mol) as the most promising GRK6 inhibitor, warranting further in vitro validation, for addressing prospective therapeutic intervention in MM.

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