Mukhopadhyay Titas Kumar, Ghosh Anupam, Datta Ayan
School of Chemical Sciences, Indian Association for the Cultivation of Science, 2A and 2B Raja S.C. Mullick Road, Jadavpur, Kolkata 700032, West Bengal, India.
ACS Phys Chem Au. 2023 Nov 22;4(2):97-121. doi: 10.1021/acsphyschemau.3c00053. eCollection 2024 Mar 27.
Since the discovery of graphene, two-dimensional (2D) materials have been anticipated to demonstrate enormous potential in bionanomedicine. Unfortunately, the majority of 2D materials induce nanotoxicity via disruption of the structure of biomolecules. Consequently, there has been an urge to synthesize and identify biocompatible 2D materials. Before the cytotoxicity of 2D nanomaterials is experimentally tested, computational studies can rapidly screen them. Additionally, computational analyses can provide invaluable insights into molecular-level interactions. Recently, various "" techniques have identified these interactions and helped to develop a comprehensive understanding of nanotoxicity of 2D materials. In this article, we discuss the key recent advances in the application of computational methods for the screening of 2D materials for their nanotoxicity toward two important categories of abundant biomolecules, namely, nucleic acids and proteins. We believe the present article would help to develop newer computational protocols for the identification of novel biocompatible materials, thereby paving the way for next-generation biomedical and therapeutic applications based on 2D materials.
自石墨烯被发现以来,二维(2D)材料就被期望在生物纳米医学中展现出巨大潜力。不幸的是,大多数二维材料会通过破坏生物分子结构而引发纳米毒性。因此,人们迫切需要合成并鉴定具有生物相容性的二维材料。在对二维纳米材料的细胞毒性进行实验测试之前,计算研究可以快速对它们进行筛选。此外,计算分析能够提供关于分子水平相互作用的宝贵见解。最近,各种“”技术已经识别出这些相互作用,并有助于深入全面地理解二维材料的纳米毒性。在本文中,我们讨论了计算方法在筛选二维材料对两类重要的丰富生物分子(即核酸和蛋白质)的纳米毒性方面应用的近期关键进展。我们相信本文将有助于开发用于鉴定新型生物相容性材料的更新计算方案,从而为基于二维材料的下一代生物医学和治疗应用铺平道路。