CONFERENCES
2025
2.
유혜진; 이재인; 유선용
Abstract | Links | BibTeX | Tags: Artificial Intelligence, Ethnopharmacology
@conference{nokey,
title = {전통 의학에서 천연물 및 화합물의 다약리학 효과 식별 연구},
author = {유혜진 and 이재인 and 유선용},
url = {https://bmil.jnu.ac.kr/wp-content/uploads/2025/07/유혜진-전통-의학에서-천연물-및-화합물의-다약리학-효과-식별-연구.pdf},
year = {2025},
date = {2025-07-04},
urldate = {2025-07-04},
booktitle = {2025 한국디지털콘텐츠학회 하계종합학술대회},
publisher = {한국디지털콘텐츠학회},
abstract = {본 논문은 질병에 대한 잠재적 후보 천연물 및 화합물을 연관 규칙 및 근접성 기반 네트워크 분석을 통해 식별함으로써 전통 의학에서의 다약리학적 효과를 밝히고자 한다. 천연물 수준 분석에서 신뢰도가 높은 조합은 질병에 효과적일 수 있으며 화합물 수준 분석은 이를 뒷받침한다.},
keywords = {Artificial Intelligence, Ethnopharmacology},
pubstate = {published},
tppubtype = {conference}
}
본 논문은 질병에 대한 잠재적 후보 천연물 및 화합물을 연관 규칙 및 근접성 기반 네트워크 분석을 통해 식별함으로써 전통 의학에서의 다약리학적 효과를 밝히고자 한다. 천연물 수준 분석에서 신뢰도가 높은 조합은 질병에 효과적일 수 있으며 화합물 수준 분석은 이를 뒷받침한다.
2014
1.
Suhyun Ha; Sunyong Yoo; Moonshik Shin; Jin Sook Kwak; Oran Kwon; Min Chang Choi; Keon Wook Kang; Hojung Nam; Doheon Lee
Abstract | Links | BibTeX | Dimensions | Tags: Ethnopharmacology, Natural product
@conference{ha2014integrative,
title = {Integrative Database for Exploring Compound Combinations of Natural Products for Medical Effects},
author = {Suhyun Ha and Sunyong Yoo and Moonshik Shin and Jin Sook Kwak and Oran Kwon and Min Chang Choi and Keon Wook Kang and Hojung Nam and Doheon Lee},
url = {https://dl.acm.org/doi/abs/10.1145/2665970.2665986},
doi = {10.1145/2665970.2665986},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
booktitle = {Proceedings of the ACM 8th International Workshop on Data and Text Mining in Bioinformatics},
pages = {41–41},
publisher = {CIKM},
abstract = {Natural products used in dietary supplements, complementary and alternative medicine (CAM) and conventional medicine are composites of multiple chemical compounds. These chemical compounds potentially offer an extensive source for drug discovery with accumulated knowledge of efficacy and safety. However, existing natural product related databases have drawbacks in both standardization and structuralization of information. Therefore, in this work, we construct an integrated database of natural products by mapping the prescription, herb, compound, and phenotype information to international identifiers and structuralizing the efficacy information through database integration and text-mining methods. We expect that the constructed database could serve as a fundamental resource for the natural products research.},
keywords = {Ethnopharmacology, Natural product},
pubstate = {published},
tppubtype = {conference}
}
Natural products used in dietary supplements, complementary and alternative medicine (CAM) and conventional medicine are composites of multiple chemical compounds. These chemical compounds potentially offer an extensive source for drug discovery with accumulated knowledge of efficacy and safety. However, existing natural product related databases have drawbacks in both standardization and structuralization of information. Therefore, in this work, we construct an integrated database of natural products by mapping the prescription, herb, compound, and phenotype information to international identifiers and structuralizing the efficacy information through database integration and text-mining methods. We expect that the constructed database could serve as a fundamental resource for the natural products research.