김정환 교수
Junghwan Kim
연세대학교 화공생명공학과 · 공학
연구실 소개
김정환 교수의 연구실은 자연에서 유래하는 천연물질의 항암 및 세포 보호 작용을 규명하고, 이를 바탕으로 스마트한 에너지 저장 소재와 친환경 에너지 기술을 개발하는 데 초점을 맞추고 있습니다. 특히, 난소세포와 전이성 암세포를 대상으로 한 항암 메커니즘 연구와 함께, 나노셀룰로오스 기반의 친환경 분리막 소재, 녹색 수소 생산 기술 개발 등 지속 가능한 에너지 솔루션을 위한 신소재 및 공정 최적화 연구를 진행하고 있습니다. 신호 전달 경로 분석과 인공지능 기반 데이터 모델링을 융합한 정밀의료 및 에너지 기술 개발도 핵심 과제입니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Many naturally occurring compounds, including beta-phenylethyl isothiocyanate (PEITC) and curcumin, exhibit significant anti-cancer chemopreventive effects. In this study, we investigated the combined effects of PEITC and curcumin in PC-3 human prostate cancer cells and in PC-3 cells that were stably transfected with an NF-kappaB luciferase plasmid (PC-3 C4). We found an additive effect of PEITC and curcumin for the induction of apoptosis. To elucidate the potential mechanisms of this effect, we
Given a signed directed network, how can we learn node representations which fully encode structural information of the network including sign and direction of edges? Node representation learning or network embedding learns a mapping of each node to a vector. The mapping encodes structural information on network, providing low-dimensional dense node features for general machine learning and data mining frameworks. Since many social networks allow trust (friend) and distrust (enemy) relationships
Alternative materials obtained from natural resources have recently garnered considerable attention as an innovative solution to bring unprecedented advances in various energy storage systems. Here, we present a new class of heterolayered nanomat-based hierarchical/asymmetric porous membrane with synergistically coupled chemical activity as a nanocellulose-mediated green material strategy to develop smart battery separator membranes far beyond their current state-of-the-art counterparts. This me
These results demonstrate that NAC protects against renal dysfunction, morphological damage and biochemical changes via the anti-apoptotic pathway in the glycerol-induced rhabdomyolysis model in rats.
The production and application of hydrogen, an environmentally friendly energy source, have been attracting increasing interest of late. Although steam methane reforming (SMR) method is used to produce hydrogen, it is difficult to build a high-fidelity model because the existing equation-oriented theoretical model cannot be used to clearly understand the heat-transfer phenomenon of a complicated reforming reactor. Herein, we developed an artificial neural network (ANN)-based data-driven model us
This study presents an induction heating-based reactor for ammonia decomposition and to achieve a 150 Nm3/h carbon-free green hydrogen production process. The developed metallic monolith reactor acts by increasing the reactor temperature through an electromagnetic induction method using renewable-based electricity. As a result, hydrogen is produced without the generation of air pollutants such as CO2, which are formed via the conventional production pathway. Furthermore, techno-economic analysis
Wet flue gas desulfurization, which is performed in many thermal power plants, has a high desulfurization efficiency and produces desulfurized gypsum as a by-product. Currently, high-grade limestone with a CaCO3 content of 94 wt% or more is used to produce desulfurized gypsum with a purity of 93 wt% or more. However, high-grade limestone resources are depleting, so new substitutes to this are required. The objective of this work is to optimize the wet flue gas desulfurization system using recycl
Hepatitis B virus (HBV) causes both acute and chronic infection of the human liver and is associated with the development of liver cirrhosis and hepatocellular carcinoma. UBP43 (USP18) is known as an ISG15-deconjugating enzyme and an inhibitor of type I IFN signaling independent of its enzyme activity. In this study, we examined the role of these two previously identified functions of UBP43 in the innate immune response to HBV viral infection. As an in vivo HBV replication model system, a replic
Strong near-infrared (NIR) electroluminescent emission at wavelengths used in telecommunication optical fibers was produced from rare-earth-doped GaN semiconductors in thin-metal-film/semiconductor/insulator/metal structures (see Figure). Strong near-infrared emission at wavelengths of 800 nm, 1082 nm, and 1550 nm has been demonstrated at room temperature with the trivalent thulium-, neodymium-, or erbium-doped GaN devices, respectively.
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