The output enables the user to investigate the hierarchical relationship between Kampo medicines, crude drugs, constituent compounds and target proteins.
Clicking on the search button, the user can obtain the corresponding information on Kampo medicines, crude drugs, constituent compounds and target proteins.
In this study, a novel strategy was proposed to rapidly filter ineffective compounds and target the most potential leads.
Here, we present KampoDB (http://wakanmoview.inm.u-toyama.ac.jp/kampo/), a novel platform for the analysis of natural medicines, which provides various useful scientific resources on Kampo medicines, constituent herbal medicines, constituent compounds, and target proteins of these constituent compounds.
The user can see a global classification of Kampo medicines, crude drugs, constituent compounds, and target proteins in a hierarchical manner (Kampo medicines on the 1st layer; crude drugs on the 2nd layer; constituent compounds on the 3rd layer; target proteins on the 4th layer).
13321_2013_487_MOESM1_ESM.docx Additional file 1: Autodock4 parameters. DOCX 21 KB) 13321_2013_487_MOESM2_ESM.xls Additional file 2: Table S1: Drug-target network of potential lead compounds and target proteins of platelet aggregation pathway.
It is therefore an important topic in drug research to gain knowledge about the interaction of compounds and target proteins through computational methods.
Therefore, it is not possible to infer potential interactions between new drug candidate compounds and target proteins.
Suppose that we are given drug candidate compounds and we want to predict unknown interactions between the compounds and target proteins on a genome-wide scale.
Therefore, an advantage of our method is that it is suitable for screening a huge number of drug candidate compounds and target proteins on a large scale.
