Visualization of multi-dimensional data of bioactive chemicals using a hierarchical data visualization technique "Heiankyo view"
Visualization of multi-dimensional data of bioactive chemicals using a hierarchical data visualization technique "Heiankyo view"
复制标题
使用分层数据可视化技术“Heiankyo view”对生物活性化学品的多维数据进行可视化
DOI:
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发表时间:
2006
期刊:
影响因子:
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通讯作者:
F. Yamashita
中科院分区:
文献类型:
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作者:
T. Itoh;F. Yamashita
In the age of combinatorial chemistry and high throughput screening, large-scale data of bioactive chemicals oriented to drug development are being accumulated. Due to the difficulties inherent in understanding such large quantities of data, information visualization techniques are increasingly attractive. Authors apply "Heiankyo View", which is the technique for the representation of large-scale hierarchical data, for the visualization of multi-dimensional data of bioactive chemicals. In the present study, we investigated applicability of the visualization technique to the structure-activity relationship (SAR) analyses. The study first classifies chemicals according to similarity in their biological actions through self-organizing map analysis. It then applies a recursive partitioning method to find the relationship between biologically based categories and chemical structure, and finally it stores the drugs as hierarchical data. HeiankyoView is suitable for the visualization of such hierarchical data. This paper first describes the algorithmic overview of Heiankyo View, and then provides some example of visualization of multi-dimensional data of bioactive chemicals.
DOI:
10.1016/s1054-3589(08)60200-8
发表时间:
1997-01-01
期刊:
Advances in pharmacology (San Diego, Calif.)
影响因子:
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作者:
Guengerich, F P
通讯作者:
Guengerich, F P