通过 DFT 计算和分子动力学模拟深入了解新型 HSP90 抑制剂的结构和动态特性

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-11-27 DOI:10.1007/s00894-024-06214-6
Ibtissam Saouli, Rahma Abrane, Chahra Bidjou-Haiour, Sameh Boudiba
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引用次数: 0

摘要

热休克蛋白(HSP),尤其是 HSP90,是维持蛋白质稳定的关键分子伴侣,尤其是在癌细胞中。肿瘤中 HSP90 水平的升高有助于致癌蛋白质的稳定。本研究的重点是开发强效、选择性的 HSP90 抑制剂,以破坏其伴侣功能,从而靶向癌细胞的存活。我们采用一种全新的杂交方法,通过整合已知 HSP90 结合药物的结构片段,设计出新型抑制剂,从而产生了杂交化合物 C1、C2 和 C3。对每个体系进行的 300 ns 分子动力学模拟显示,与参考化合物 MEY 相比,C1、C2 和 C3 与 HSP90 形成的复合物更稳定。RMSD、RMSF、Rg、SASA 和 MM-PBSA 指标都支持这些发现。DCCM 和 FEL 分析证实抑制剂不会改变 HSP90 的初始构型。利用 B3LYP/6-311 + + (d,p) 基础集进行了进一步的 DFT 计算,以评估前沿分子轨道、MEP 表面、ELF、LOL 地图、TDOS 和 PDOS。结果表明,与参考化合物 MEY 相比,C1、C2 和 C3 与 HSP90 形成了更稳定的复合物。这些发现肯定了 C1、C2 和 C3 作为新型抗癌疗法的潜力。我们的方法展示了一种开发选择性 HSP90 抑制剂的可行策略,这种抑制剂既能保持蛋白质功能的完整性,又能破坏其致癌作用,为进一步对这些新型化合物进行临床前评估铺平了道路。我们使用了 Maestro 11.8、Discovery Studio Visualizer、Gromacs-2023、Gaussian 16 以及 SwissADME 和 ProTox-II 等在线平台。对 8 种已知的 HSP90 结合药物产生的片段进行了 SP-对接,共产生了 170 个片段。得分最高的片段通过育种小组合并成新的 HSP90 抑制剂。XP-对接和 ADMET 分析确定 C1、C2 和 C3 为最有希望的候选化合物。这些化合物被选中进行 300 ns 动态模拟和随后的 DFT 计算。
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Insight into the structural and dynamic properties of novel HSP90 inhibitors through DFT calculations and molecular dynamics simulations

Heat-shock proteins (HSPs), particularly HSP90, are critical molecular chaperones that maintain protein stability, especially in cancer cells. Elevated HSP90 levels in tumors aid in oncogenic protein stabilization. This study focuses on developing potent, selective HSP90 inhibitors to disrupt its chaperone function, targeting cancer cell survival. Using a de novo hybridization approach, we designed novel inhibitors by integrating structural fragments from a known HSP90-binding drug, leading to the creation of hybrid compounds C1, C2, and C3. A 300 ns molecular dynamics simulation of each system revealed that C1, C2, and C3 formed more stable complexes with HSP90 compared to the reference compound, MEY. RMSD, RMSF, Rg, SASA, and MM-PBSA metrics supported these findings. DCCM and FEL analyses confirmed that the inhibitors did not alter HSP90’s initial configuration. Further DFT calculations with the B3LYP/6–311 +  + (d,p) basis set were conducted to evaluate frontier molecular orbitals, MEP surfaces, ELF, LOL maps, TDOS and PDOS. The results indicated that C1, C2, and C3 formed more stable complexes with HSP90 compared to the reference compound MEY. These findings affirm the potential of C1, C2, and C3 as new anti-cancer therapies. Our approach demonstrates a promising strategy for developing selective HSP90 inhibitors that maintain the protein’s functional integrity while disrupting its oncogenic role, paving the way for further preclinical evaluation of these novel compounds.

Maestro 11.8, Discovery Studio Visualizer, Gromacs-2023, Gaussian 16, and online platforms like SwissADME and ProTox-II were utilized. Fragments generated from eight known HSP90-binding drugs were subjected to SP-docking, leading to 170 fragments. The highest-scoring fragments were merged using the breed panel to create new HSP90 inhibitors. XP-docking and ADMET analyses identified C1, C2, and C3 as the most promising candidates. These compounds were selected for a 300 ns dynamic simulation and subsequent DFT calculations.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
期刊最新文献
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