다계층 상호작용 네트워크 기반 사상처방의 작용 기전과 대상 질환 탐색 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이원융 | - |
dc.contributor.author | 김지환 | - |
dc.date.accessioned | 2024-01-01T03:00:14Z | - |
dc.date.available | 2024-01-01T03:00:14Z | - |
dc.date.issued | 2023-12 | - |
dc.identifier.issn | 1226-4075 | - |
dc.identifier.issn | 2287-786X | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/89873 | - |
dc.description.abstract | - | - |
dc.format.extent | 13 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 사상체질의학회 | - |
dc.title | 다계층 상호작용 네트워크 기반 사상처방의 작용 기전과 대상 질환 탐색 연구 | - |
dc.title.alternative | Exploring the Mechanisms and Target Diseases of Sasang Constitutional Prescription based on Multiscale Interactome | - |
dc.type | Article | - |
dc.identifier.doi | 10.7730/JSCM.2023.35.4.10 | - |
dc.identifier.bibliographicCitation | 사상체질의학회지, v.35, no.4, pp 10 - 22 | - |
dc.identifier.kciid | ART003029841 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 22 | - |
dc.citation.startPage | 10 | - |
dc.citation.title | 사상체질의학회지 | - |
dc.citation.volume | 35 | - |
dc.citation.number | 4 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Sasang constitutional medicine | - |
dc.subject.keywordAuthor | Herbal medicine | - |
dc.subject.keywordAuthor | Network pharmacology | - |
dc.subject.keywordAuthor | Multiscale interactome | - |
dc.subject.keywordAuthor | Disease | - |
dc.subject.keywordAuthor | Mechanism | - |
dc.description.journalRegisteredClass | kci | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.