IEEE Trans Nanobioscience. 2020 Jul;19(3):323-332. doi: 10.1109/TNB.2020.2984940. Epub 2020 Apr 1.
Targeted drug delivery system is believed as one of the most promising solutions for cancer treatment due to its low-dose requirement and less side effects. However, both passive targeting and active targeting rely on systemic blood circulation and diffusion, which is actually not the real "active" drug delivery. In this paper, an ant-behavior inspired nanonetwork composing of intelligent nanomachines is proposed. A big intelligent nanomachine take small intelligent nanomachines and drugs to the vicinity of of the tumor area. The small intelligent nanomachines can coordinate with each other to find the most effective path to the tumor cell for drug transportation. The framework and mechanism of this cooperative network are proposed. The route finding algorithm is presented. The convergence performance is analytically analyzed where the influence of the factors such as molecule degradation rate, home-destination distance, number of small nanomachines to the convergence is presented. Finally the simulation results validate the effectiveness of the proposed mechanism and analytical analysis.
靶向药物输送系统被认为是癌症治疗最有前途的解决方案之一，因为它的剂量要求低，副作用小。然而，被动靶向和主动靶向都依赖于全身血液循环和扩散，这实际上并不是真正的“主动”药物输送。在本文中，提出了一种受蚂蚁行为启发的纳米网络，由智能纳米机器组成。一个大的智能纳米机器将小的智能纳米机器和药物带到肿瘤区域附近。小的智能纳米机器可以相互协调，找到通往肿瘤细胞的最有效路径进行药物输送。提出了这种协同网络的框架和机制。提出了路径发现算法。分析了分子降解率、家庭目的地距离、小纳米机器数量等因素对收敛性的影响，对收敛性能进行了分析。最后，仿真结果验证了所提出机制和分析分析的有效性。
