Targeted drug delivery has become an important direction in anticancer therapy research. In nanomachine-based targeted drug delivery, where a nanomachine containing anticancer drugs moves towards cancer cells and releases drugs to kill cancer cells, it should be noted that the nanomachine has limited space to carry drugs, and on the other hand the cancer cells have finite receptors to bind drugs. Therefore, to efficiently utilize cancer drugs, this paper aims to calculate and optimize drug release rate of nanomachines to produce a full drug response in local targeted drug delivery. A drug reception model reflecting ligand-receptors binding is established based on M/M/c/c queue. The minimum released concentration of drug molecules is derived from the minimum effective occupancy ratio of receptors according to the drug occupancy theory. We then derive the optimized release rates of each nanomachine from the minimum effective concentration of drug molecules according to diffusion channel response in terms of continuous emission of single nanomachine and multi-nanomachine, respectively. The simulation results match well with the analytical results. The study paves the way for designing local targeted drug delivery systems.

中文翻译：

---

基于局部纳米机器的靶向药物递送的分子通讯中的释放率优化

靶向给药已成为抗癌治疗研究的重要方向。在基于纳米机器的靶向药物输送中，含有抗癌药物的纳米机器向癌细胞移动并释放药物杀死癌细胞，需要注意的是纳米机器携带药物的空间有限，另一方面癌细胞的携带空间有限。受体结合药物。因此，为了有效利用抗癌药物，本文旨在计算和优化纳米机器的药物释放率，以在局部靶向给药中产生完整的药物反应。基于M/M/c/c队列建立反映配体-受体结合的药物接收模型。根据药物占有率理论，药物分子的最小释放浓度是由受体的最小有效占有率推导出来的。然后，我们分别根据单个纳米机器和多纳米机器的连续发射方面的扩散通道响应，从药物分子的最小有效浓度中推导出每个纳米机器的优化释放速率。模拟结果与分析结果吻合良好。该研究为设计局部靶向给药系统铺平了道路。