基于Delaunay三角法的电压门控钾离子通道的分类和拓扑结构识别(英文)  

A delaunay-based method for voltage-gated potassium channels classification and structure recognition

作　　者：孙李娜[1] 文志宁[1] 谭福元[1] 张云佳[1] 刘丽霞[1] 李梦龙[1] 

机构地区：[1]四川大学化学学院,四川成都610064

出　　处：《化学研究与应用》2008年第3期269-271,共3页Chemical Research and Application

摘　　要：本文构建了一个Delaunay模型对电压门控钾离子(Kv)通道进行预测。该方法通过建立一系列带有隐含变量的单纯形来分类电压门控钾离子通道,然后通过未知序列在主成分空间里面的投影来预测结构。结果表明该模型无论是在分类和结构预测上均可以得到很好的结果。A Delaunay model to predict voltage -gated potassium （Kv） channels was developed, in which a series of simplexes with latent variables were constructed to classify the families of Kv channels and then each query sequence was projected to principle component space （PC- space） to predict their topology. The results suggested that this method can perform reasonably well in both classification and structure recognition. It is anticipated that this method can be as a complementary tool for experiments to provide structural information of a novel Kv channels and be helpful to other algorithms for structure prediction.

关 键 词：基于Delaunay的模型 电压门控钾离子通道 分类 结构识别 

分 类 号：O641[理学—物理化学]