生物相容性和毒性的硅学评估:用于临时修复体的 PMMA 牙科材料的分子对接和动力学模拟。

IF 4.2 3区 医学 Q2 ENGINEERING, BIOMEDICAL Journal of Materials Science: Materials in Medicine Pub Date : 2024-06-04 DOI:10.1007/s10856-024-06799-7
Ravinder S. Saini, Rayan Ibrahim H. Binduhayyim, Vishwanath Gurumurthy, Abdulkhaliq Ali F. Alshadidi, Shashit Shetty Bavabeedu, Rajesh Vyas, Doni Dermawan, Punnoth Poonkuzhi Naseef, Seyed Ali Mosaddad, Artak Heboyan
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引用次数: 0

摘要

目的:本研究旨在全面评估聚甲基丙烯酸甲酯(PMMA)及其单体甲基丙烯酸甲酯(MMA)的生物相容性和毒性特征:方法:采用分子对接法预测 MMA 和 PMMA 与涉及骨代谢和组织发育的特定受体(包括 RANKL、纤连蛋白、BMP9、NOTCH2 和其他相关受体)的结合亲和力、能量和立体特征。利用 HADDOCK 单机版进行对接计算,采用拉马克遗传算法探索配体与受体相互作用的构象空间。此外,还使用 GROMACS 软件包进行了 100 纳秒的分子动力学(MD)模拟,以评估动态作用和结构稳定性。利用 LigandScout 进行药效学建模,采用基于形状的筛选方法确定蛋白质靶标上潜在的配体结合位点:分子对接研究阐明了 PMMA 和 MMA 与牙科应用相关的关键生物分子靶点之间的良好相互作用。MD 模拟结果有力地证明了 PMMA 复合物结构的长期稳定性。药效学建模强调了羰基和羟基作为药效学特征的重要性,表明化合物具有良好的生物相容性:本研究强调了 PMMA 在牙科应用中的潜力,强调了其结构稳定性、分子相互作用和安全性。这些发现为未来牙科生物材料的发展奠定了基础,指导了材料的设计和优化,从而增强了生物相容性。未来的发展方向包括对计算结果进行实验验证,以及开发具有更好的生物相容性和临床表现的基于 PMMA 的牙科材料。
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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In silico assessment of biocompatibility and toxicity: molecular docking and dynamics simulation of PMMA-based dental materials for interim prosthetic restorations

Aim: This study aimed to comprehensively assess the biocompatibility and toxicity profiles of poly(methyl methacrylate) (PMMA) and its monomeric unit, methyl methacrylate (MMA), crucial components in dental materials for interim prosthetic restorations. Methodology: Molecular docking was employed to predict the binding affinities, energetics, and steric features of MMA and PMMA with selected receptors involved in bone metabolism and tissue development, including RANKL, Fibronectin, BMP9, NOTCH2, and other related receptors. The HADDOCK standalone version was utilized for docking calculations, employing a Lamarckian genetic algorithm to explore the conformational space of ligand-receptor interactions. Furthermore, molecular dynamics (MD) simulations over 100 nanoseconds were conducted using the GROMACS package to evaluate dynamic actions and structural stability. The LigandScout was utilized for pharmacophore modeling, which employs a shape-based screening approach to identify potential ligand binding sites on protein targets. Results: The molecular docking studies elucidated promising interactions between PMMA and MMA with key biomolecular targets relevant to dental applications. MD simulation results provided strong evidence supporting the structural stability of PMMA complexes over time. Pharmacophore modeling highlighted the significance of carbonyl and hydroxyl groups as pharmacophoric features, indicating compounds with favorable biocompatibility profiles. Conclusion: This study underscores the potential of PMMA in dental applications, emphasizing its structural stability, molecular interactions, and safety considerations. These findings lay a foundation for future advancements in dental biomaterials, guiding the design and optimization of materials for enhanced biocompatibility. Future directions include experimental validation of computational findings and the development of PMMA-based dental materials with improved biocompatibility and clinical performance.

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来源期刊
Journal of Materials Science: Materials in Medicine
Journal of Materials Science: Materials in Medicine 工程技术-材料科学:生物材料
CiteScore
8.00
自引率
0.00%
发文量
73
审稿时长
3.5 months
期刊介绍: The Journal of Materials Science: Materials in Medicine publishes refereed papers providing significant progress in the application of biomaterials and tissue engineering constructs as medical or dental implants, prostheses and devices. Coverage spans a wide range of topics from basic science to clinical applications, around the theme of materials in medicine and dentistry. The central element is the development of synthetic and natural materials used in orthopaedic, maxillofacial, cardiovascular, neurological, ophthalmic and dental applications. Special biomedical topics include biomaterial synthesis and characterisation, biocompatibility studies, nanomedicine, tissue engineering constructs and cell substrates, regenerative medicine, computer modelling and other advanced experimental methodologies.
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