Han Kyungsook, Byun Yanga
School of Computer Science and Engineering, Inha University, Inchon 402-751, South Korea.
Comput Biol Med. 2004 Mar;34(2):127-39. doi: 10.1016/S0010-4825(03)00045-3.
Protein interaction networks provide us with contextual information within which protein function can be interpreted and will assist many biomedical studies. We have developed a new force-directed layout algorithm for visualizing protein interactions in three-dimensional space. Our algorithm divides nodes into three groups based on their interacting properties: bi-connected sub-graph in the center, terminal nodes at the outermost region, and the rest in between them. Experimental results show that our algorithm efficiently generates a clear and aesthetically pleasing drawing of large-scale protein interaction networks and that it is an order of magnitude faster than other force-directed layouts.
蛋白质相互作用网络为我们提供了可以解释蛋白质功能的背景信息,并将有助于许多生物医学研究。我们开发了一种新的力导向布局算法,用于在三维空间中可视化蛋白质相互作用。我们的算法根据节点的相互作用特性将其分为三组:中心的双连通子图、最外层区域的终端节点以及介于两者之间的其余节点。实验结果表明,我们的算法能够高效地生成大规模蛋白质相互作用网络的清晰且美观的图形,并且比其他力导向布局快一个数量级。