Computational Tools for the Biomedical Application of Carbon Nanomaterials

L. Rakesh
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Abstract

Single-walled carbon nanotubes (SWNTs), with their versatile physico-chemical features, have been investigated as an efficient platform for biomedical applications. The main challenges of drug design are to locate compounds that bind selectively to target receptors, but not to other receptors such that they cause adverse side effects. If dispersed properly, nanoparticles of a certain size can pass through the blood barrier to deliver drugs to a targeted site. Often, drugs are rapidly released at lower pH, as in inflammatory/diseased and tumor cells. Nanoparticles are often functionalized and unfunctionalized with nonionic surfactant polymers, with and without functionalized hydrophobic drugs bound by cleavable linker, to render them stable in suspension. In biological membranes, cholesterol and amphiphilic molecules serve as surfactants and, by design, may be used to assist nanoparticles in carrying hydrophobic drugs to targeted sites. As the experimental investigation of biocompatible surfactants, and of hydrophobic drugs and their interactions with nanoparticles, is time-consuming and expensive, computer simulation might offer a viable means of understanding the interaction between nanoparticles (e.g., carbon nanotubes, fullerenes), drugs and biocompatible surfactants, either by covalent or noncovalent functionalization. Thus, an attempt was made to understand the various interaction properties of these complexes using computer simulation, perhaps to provide insight into the overall mechanisms and for experimental studies. The present study involved molecular dynamics (MD) simulations of a system composed of branched and unbranched PEGylated lipids, with and without the covalent and noncovalent functionalization of drugs [e.g., paclitaxel (PTX) and Irinotecan (Irin)] such as cholesterols and phospholipids (the components of the living cell's membrane) to single-walled carbon nanotubes (SWNTs). The behavior of these complexes in the presence of ssDNA and hormonally active vitamin D2 was also investigated. The addition of SWNTs and vitamin D2 leads to increases in the loading of PTX interaction and binding. Thus, a strategy was investigated to apply a comparative binding energy analysis of SWNTs to identify the interaction between different chemical species. The binding energy, mean square displacement, radial distribution function, angular and translational velocity autocorrelation functions of PEGylated cholesterol and phospholipid molecules are presented, and analyzed to understand the efficiency of the drug-delivery system in the presence of SWNTs, along with an historical perspective of its merits and demerits in biomedical applications. The strong interaction between complexed PTX in the presence of vitamin D2 and SWNTs is believed to be a determinant factor in the higher loading and prolonged burst release of the drug to a targeted site. Keywords: molecular modeling; carbon nanotubes; drug dispersion; biosurfactant; paclitaxel; irinotecan; calcitriol; ssDNA
碳纳米材料生物医学应用的计算工具
单壁碳纳米管(SWNTs)具有多种物理化学特性,已被研究作为生物医学应用的有效平台。药物设计的主要挑战是找到选择性地与目标受体结合的化合物,而不是与其他受体结合,从而导致不良副作用。如果分散得当,一定大小的纳米颗粒可以穿过血液屏障,将药物输送到目标部位。通常,药物在较低的pH值下迅速释放,如在炎症/病变细胞和肿瘤细胞中。纳米颗粒通常与非离子表面活性剂聚合物进行功能化和非功能化,与可切割连接剂结合的疏水药物进行功能化和非功能化,以使其在悬浮中稳定。在生物膜中,胆固醇和两亲分子作为表面活性剂,通过设计,可以帮助纳米颗粒携带疏水药物到达目标部位。由于生物相容性表面活性剂、疏水性药物及其与纳米颗粒相互作用的实验研究既耗时又昂贵,计算机模拟可能提供一种可行的方法来理解纳米颗粒(如碳纳米管、富勒烯)、药物和生物相容性表面活性剂之间的相互作用,无论是通过共价还是非共价功能化。因此,我们尝试使用计算机模拟来了解这些复合物的各种相互作用特性,也许可以提供对整体机制和实验研究的见解。目前的研究涉及一个由支链和非支链聚乙二醇化脂质组成的系统的分子动力学(MD)模拟,包括和不包括药物的共价和非共价功能化[例如,紫杉醇(PTX)和伊立替康(Irin)],如胆固醇和磷脂(活细胞膜的成分)到单壁碳纳米管(SWNTs)。还研究了这些复合物在ssDNA和激素活性维生素D2存在下的行为。单壁碳纳米管和维生素D2的加入导致PTX相互作用和结合负荷的增加。因此,研究人员研究了一种策略,利用碳纳米管的比较结合能分析来识别不同化学物质之间的相互作用。本文给出了聚乙二醇化胆固醇和磷脂分子的结合能、均方位移、径向分布函数、角速度和平移速度自相关函数,并分析了聚乙二醇化胆固醇和磷脂分子的结合能、均方位移、径向分布函数、角速度和平移速度自相关函数,以了解在单壁碳纳米管存在下给药系统的效率,以及其在生物医学应用中的优缺点。在维生素D2和SWNTs存在的情况下,复合物PTX之间的强相互作用被认为是药物高负荷和长时间释放到目标部位的决定因素。关键词:分子建模;碳纳米管;药物分散;生物表面活性剂;紫杉醇;伊立替康;骨化三醇;ssDNA
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