表皮生长因子受体(epidermal growth factor receptor: EGFR)在细胞信号转导中发挥了重要作用，调节细胞的增殖、分化与迁移。EGFR与多种癌症密切相关，这使其成为一个理想的抗肿瘤药物靶点。本文对EGFR的结构生物学及计算生物学的研究进展做一综述。通过结构生物学家的不懈努力，已经对EGFR的三维空间结构有了较为清晰的认识。计算机模拟是研究生物大分子动态过程的重要手段之一，可以在EGFR静态结构的基础上，模拟其在配体诱导的激活过程中发生的大尺度、长时程的动态构象变化。对EGFR的结构及其分子内部运动的研究，有助于揭示其发挥生物学功能的分子机理，为抗肿瘤药物的设计开发提供指导。
Epidermal growth factor receptor (EGFR) plays a critical role in the network of signal transduction, and regulates cell proliferation, differentiation, and migration. EGFR is implicated in different kinds of cancers, which makes it an excellent target for anti-tumor therapy. This review considers structural and computational studies of EGFR, and their impact on our understanding of EGFR function. With continuing efforts of biologists, many high-resolution structures of different regions in EGFR, which include the extracellular region and the intracellular tyrosine kinase do-main, have been solved. Starting from these structures, computer simulation techniques enable us to investigate large length-scale and long time-scale conformational changes during the EGFR activation. All the studies will be helpful to reveal the molecular mechanism in EGFR regulation, and provide valuable knowledge for developing anti-cancer drugs.
本文提出了基于弹簧模型的定位算法MSRDH (Mass Spring and RSSI DV-Hop)算法。该算法利用弹簧模型，把节点与锚节点作为端点，将这两个点间最短路径上的所有节点抽象成一个弹簧。通过建立锚节点之间的弹簧模型，得到全网的平均弹簧系数，并将平均弹簧系数应用到网络中未知节点的计算过程中。仿真结果表明，MSRDH算法比DV-Hop算法有更好的性能表现。
MSRDH (Mass Spring and RSSI DV-Hop) localization algorithm based on mass-spring model is proposed in this paper. Using mass-spring model, the algorithm abstracts all nodes on the shortest path between the node and anchor node into a spring. The average coefficient of mass-spring is calculated through the establishment of the spring models between anchor nodes. Taking advantage of the average coefficient of mass-spring, the unknown nodes can compute their own localizations. Through extensive simulations, the results show that MSRDH algorithm has better performance than DV-Hop algorithm.