Faster coevolution detection of proteins using maximum similar cliques.

BCB'10: ACM International Conference on Bioinformatics and Computational Biology Niagara Falls New York August, 2010(2010)

引用 0|浏览21
暂无评分
摘要
We present a new and faster algorithm for predicting coevolving proteins from pairs of protein distance matrices that are free to differ in size and scale, based on the initial work in [3]. The new algorithm has a more effective pruning strategy for possible groupings of proteins, and a more precise test for co-evolution. Its theoretical worst-case time complexity is O(N4 · 32/3N), and in practice, exhibits execution times that are on the order of 100 times faster than the original.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要