@article{ART002397812},
author={Kim Sang-Kyun},
title={Analysis of a Compound-Target Network of Oryeong-san},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2018},
volume={13},
number={5},
pages={607-614},
doi={10.34163/jkits.2018.13.5.011}
TY - JOUR
AU - Kim Sang-Kyun
TI - Analysis of a Compound-Target Network of Oryeong-san
JO - Journal of Knowledge Information Technology and Systems
PY - 2018
VL - 13
IS - 5
PB - Korea Knowledge Information Technology Society
SP - 607
EP - 614
SN - 1975-7700
AB - Oryeong-san is a prescription widely used for diseases where water is stagnant because it has the effect of circulating the water in the body and releasing it into the urine. In order to investigate the mechanisms of oryeong-san, we in this paper construct and analysis the compound-target network of medicinal materials constituting oryeong-san based on a systems pharmacology approach. First, the targets related to the 475 chemical compounds of oryeong-san were searched in the STITCH database, and the search results for the interactions between compounds and targets were downloaded as XML files. The compound-target network of oryeong-san is visualized and explored using Gephi 0.8.2, which is an open-source software for graphs and networks. In the network, nodes are compounds and targets, and edges are interactions between the nodes. The edge is weighted according to the reliability of the interaction. In order to analysis the compound-target network, it is clustered using MCL algorithm, which is able to cluster the weighted network. A total of 130 clusters were created, and the number of nodes in the cluster with the largest number of nodes was 32. In the clustered network, it was revealed that the active compounds of medicinal materials were associated with the targets for regulating the blood pressure in the kidney. In the future, we will clarify the mechanisms of oryeong-san by linking the information on disease databases and the network of this research.
KW - Oryeong-san;Compound-Target network;Clustering;TM-MC;MCL algorithm;Korean medicine
DO - 10.34163/jkits.2018.13.5.011
ER -
Kim Sang-Kyun. (2018). Analysis of a Compound-Target Network of Oryeong-san. Journal of Knowledge Information Technology and Systems, 13(5), 607-614.
Kim Sang-Kyun. 2018, "Analysis of a Compound-Target Network of Oryeong-san", Journal of Knowledge Information Technology and Systems, vol.13, no.5 pp.607-614. Available from: doi:10.34163/jkits.2018.13.5.011
Kim Sang-Kyun "Analysis of a Compound-Target Network of Oryeong-san" Journal of Knowledge Information Technology and Systems 13.5 pp.607-614 (2018) : 607.
Kim Sang-Kyun. Analysis of a Compound-Target Network of Oryeong-san. 2018; 13(5), 607-614. Available from: doi:10.34163/jkits.2018.13.5.011
Kim Sang-Kyun. "Analysis of a Compound-Target Network of Oryeong-san" Journal of Knowledge Information Technology and Systems 13, no.5 (2018) : 607-614.doi: 10.34163/jkits.2018.13.5.011
Kim Sang-Kyun. Analysis of a Compound-Target Network of Oryeong-san. Journal of Knowledge Information Technology and Systems, 13(5), 607-614. doi: 10.34163/jkits.2018.13.5.011
Kim Sang-Kyun. Analysis of a Compound-Target Network of Oryeong-san. Journal of Knowledge Information Technology and Systems. 2018; 13(5) 607-614. doi: 10.34163/jkits.2018.13.5.011
Kim Sang-Kyun. Analysis of a Compound-Target Network of Oryeong-san. 2018; 13(5), 607-614. Available from: doi:10.34163/jkits.2018.13.5.011
Kim Sang-Kyun. "Analysis of a Compound-Target Network of Oryeong-san" Journal of Knowledge Information Technology and Systems 13, no.5 (2018) : 607-614.doi: 10.34163/jkits.2018.13.5.011
