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| 蛋白质序列的聚类结构分析 | |
| 引用本文： | 陶华,唐旭清. 蛋白质序列的聚类结构分析[J]. 生物信息学, 2012, 10(4): 269-273,279 |
| 作者姓名： | 陶华 唐旭清 |
| 作者单位： | 江南大学理学院,江苏无锡,214122 |
| 基金项目： | 国际科技合作研究项目，江南大学创新团队发展计划 |
| 摘 要： | 基于模糊邻近关系的粒度空间,对蛋白质序列进行聚类结构分析。利用MEGA软件计算选取的木聚糖酶序列间的比对距离,引入内积将其转化为模糊邻近关系(或矩阵),再应用算法求解其粒度空间,进行序列的聚类结构分析和最佳聚类确定研究。这些研究为蛋白质序列提供了定量分析的工具。 |
| 关 键 词： | 蛋白质序列 模糊邻近关系 粒度空间 最佳聚类 木聚糖酶 |
Clustering structural analysis of protein sequences |
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| TAO Hua , TANG Xu-qing. Clustering structural analysis of protein sequences[J]. Chinese Journal of Bioinformatics, 2012, 10(4): 269-273,279 | |
| Authors: | TAO Hua TANG Xu-qing |
| Affiliation: | TAO Hua, TANG Xu - qing ( School of Science, Jiangnan University, Wuxi 214122, China) |
| Abstract: | In this paper, the clustering structural analysis on protein sequences is given based on the granular space of a fuzzy proximity relation. Firstly, by using the MEGA software and introducing the inner product, the alignment distances of xylanse sequences are transformed into a fuzzy proximity relation （or matrix）. Secondly, its granular space is obtained by applying an algorithm. Finally, the clustering structural analysis on protein sequences and the method for determining optimal number of clusters are given. These researches provide a quantitative tool for analy- zing protein sequences. |
| Keywords: | Protein sequence Fuzzy proximity relation Granular space Optimal cluster Xylanse |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |