Hyojeong Jin

Woosuk University

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Co-Authors

Ikuro Choh

Waseda University

Il Yeo

KISTI National Supercomputing Center

Byung-Hee Lee

Hanyang University

Kyeong‐Ryoon Lee

Korea Research Institute of Bioscience and Biotechnology

Sang Keun Rhee

Electronics and Telecommunications Research Institute

Jongmin Yoon

Samsung (South Korea)

Jae-Soo Kim

Yonsei University

Ji‐Eun Chang

Dongduk Women's University

Misoo Kwon

Yoon‐Jee Chae

Woosuk University

Cooperative Institutions

Korea Institute of Science & Technology Information

Seoul National University

Korea Institute of Science and Technology

Hanyang University

National Institute of Environmental Research

Korea Research Institute of Bioscience and Biotechnology

Woosuk University

Ewha Womans University

Waseda University

KISTI National Supercomputing Center

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Findings on In Vitro Transporter-Mediated Drug Interactions and Their Follow-Up Actions for Labeling: Analysis of Drugs Approved by US FDA between 2017 and 2021

Pharmaceutics (2022)

Kyeong‐Ryoon Lee Ji‐Eun Chang Jongmin Yoon Hyojeong Jin Yoon‐Jee Chae

Understanding possible follow-up actions on in vitro findings helps determine the necessity of labeling for drug interactions. We analyzed information for in vitro findings on transporter-mediated interactions of drugs approved by the U.S. Food and Drug Administration's Center for Drug Evaluation and Research for the last five years (i.e., 2017-2021) and their follow-up actions for labeling. Higher R values than the pre-defined cut-off were observed with 3.7-39.1% inhibitor drugs in a simple prediction. Among these drugs, 16-41.7% were labeled with their potential drug interactions, while results of supporting studies or scientific rationales were submitted for the other drugs leading to no interaction labeling. In vitro transporter substrates were reported with 1.7-67.6% of drugs. The interaction labels for these substrate drugs were observed in up to 40% of drugs, while the other drugs were not labeled on the drug interactions with claims for their low interaction potential, evidenced by clinical studies or scientific rationales. The systematic and comprehensive analysis in this study will provide insight into the management of in vitro findings for transporter substrate or inhibitor drugs.

Drug-drug interaction

10.3390/pharmaceutics14102078

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Citations (2)

Study of communication model about ecological information site on web

Yoko Mayuzumi Hyojeong Jin Ikuro Choh

Web site

Social ecological model

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Citations (0)

A Proposal On Web-Based Publishing Workflow Management System.

Information Integration and Web-based Applications & Services (2005)

Hyojeong Jin Ikuro Chouh

Workflow Management Coalition

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On Knowledge-Based Editorial Design System

Lecture notes in computer science (2005)

Hyojeong Jin Ikuro Choh

Design knowledge

Intelligent design

Design process

10.1007/11552413_48

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Citations (1)

Information Modelling for Adaptive Composition in Collaborative Work Environment

World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering (2008)

Sang Keun Rhee Hyojeong Jin Jihye Lee Misoo Kwon Myon-Woong Park

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A Proposal on Collaborative Publishing Design System

Hyojeong Jin

Summary This paper proposes a collaborative publishing design system using networks. In the proposed system, all publishing participants including clients, editors, designers and publishers can observe publishing design workflows and share or exchange their knowledge and information to one another on the web. Furthermore, they can work together in real-time on the same cyber-space even though they are in different places. It can be shown that using our proposed system not only can enhance the quality of collaborative work but also efficiently manage

Collaborative Design

Electronic publishing

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Citations (1)

R&D Information System to Support Knowledge Creation

Communications in computer and information science (2011)

Hyojeong Jin Il Yeo Youn-Gyou Kook Byung-Hee Lee Jae-Soo Kim

Tacit Knowledge

Crowdsourcing

Encyclopedia

Knowledge Creation

Explicit knowledge

10.1007/978-3-642-22098-2_115

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