Centre for Nanosciences and Molecular Medicine, Amrita University, Kochi, 682 041, India.
Centre for Nanosciences and Molecular Medicine, Amrita University, Kochi, 682 041, India.
Carbohydr Polym. 2017 Dec 1;177:67-76. doi: 10.1016/j.carbpol.2017.08.112. Epub 2017 Aug 30.
We present a computational investigation of binding affinity of different types of drugs with chitin nanocarriers. Understanding the chitn polymer-drug interaction is important to design and optimize the chitin based drug delivery systems. The binding affinity of three different types of anti-bacterial drugs Ethionamide (ETA) Methacycline (MET) and Rifampicin (RIF) with amorphous chitin nanoparticles (AC-NPs) were studied by integrating computational and experimental techniques. The binding energies (BE) of hydrophobic ETA, hydrophilic MET and hydrophobic RIF were -7.3kcal/mol, -5.1kcal/mol and -8.1kcal/mol respectively, with respect to AC-NPs, using molecular docking studies. This theoretical result was in good correlation with the experimental studies of AC-drug loading and drug entrapment efficiencies of MET (3.5±0.1 and 25± 2%), ETA (5.6±0.02 and 45±4%) and RIF (8.9±0.20 and 53±5%) drugs respectively. Stability studies of the drug encapsulated nanoparticles showed stable values of size, zeta and polydispersity index at 6°C temperature. The correlation between computational BE and experimental drug entrapment efficiencies of RIF, ETA and MET drugs with four AC-NPs strands were 0.999 respectively, while that of the drug loading efficiencies were 0.854 respectively. Further, the molecular docking results predict the atomic level details derived from the electrostatic, hydrogen bonding and hydrophobic interactions of the drug and nanoparticle for its encapsulation and loading in the chitin-based host-guest nanosystems. The present results thus revealed the drug loading and drug delivery insights and has the potential of reducing the time and cost of processing new antibiotic drug delivery nanosystem optimization, development and discovery.
我们提出了一种计算研究,以研究不同类型的药物与壳聚糖纳米载体的结合亲和力。了解壳聚糖聚合物-药物相互作用对于设计和优化基于壳聚糖的药物传递系统非常重要。通过整合计算和实验技术,研究了三种不同类型的抗菌药物乙硫异烟胺(ETA)、甲烯土霉素(MET)和利福平(RIF)与无定形壳聚糖纳米颗粒(AC-NPs)的结合亲和力。通过分子对接研究,ETA、MET 和 RIF 的结合能(BE)分别为-7.3kcal/mol、-5.1kcal/mol 和-8.1kcal/mol,相对于 AC-NPs。这一理论结果与 AC-药物负载和 MET(3.5±0.1 和 25±2%)、ETA(5.6±0.02 和 45±4%)和 RIF(8.9±0.20 和 53±5%)药物的药物包封效率的实验研究非常吻合。研究了药物包封纳米颗粒的稳定性,在 6°C 温度下,其粒径、Zeta 和多分散指数均显示出稳定的值。计算 BE 与 RIF、ETA 和 MET 药物与四种 AC-NPs 链的药物包封效率的相关性分别为 0.999,而药物负载效率的相关性分别为 0.854。此外,分子对接结果预测了药物和纳米颗粒之间的静电、氢键和疏水相互作用的原子水平细节,这些相互作用用于其在壳聚糖基主客体纳米系统中的包封和负载。因此,这些结果揭示了药物负载和药物传递的见解,并有可能减少新抗生素药物传递纳米系统优化、开发和发现的时间和成本。