김주한 교수
Joo-Han Kim
서울대학교 · 생화학·유전·분자생물학
연구실 소개
김주한 교수의 연구실은 나노소재 및 편광 기반의 전자재료 개발을 핵심으로 하며, 특히 실리콘 nitride 및 탄소 질화물 기반의 투명 전도성 필름, 나노구조 필름의 물리적·화학적 특성 제어에 중점을 두고 있습니다. 또한 생체재료 및 첨단 의료 기술 연계 연구로, intervertebral disc의 조직재생 가능성 탐색과 방사선에 의한 뇌혈관 변화에 대한 분석도 진행 중입니다. 초음파 이미징 시스템의 디지털 집중 기술 개발을 통해 의료 영상 기술의 혁신에도 기여하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Biological networks often show a scale-free topology with node degree following a power-law distribution. Lethal genes tend to form functional hubs, whereas non-lethal disease genes are located at the periphery. Uni-dimensional analyses, however, are flawed. We created and investigated two distinct scale-free networks; a proteinâprotein interaction (PPI) and a perturbation sensitivity network (PSN). The hubs of both networks exhibit a low molecular evolutionary rate (P < 8 Ã 10â12, P <
The use of finasteride for alleviating hair loss has been investigated, and it has been applied as an oral dose medication. However, due to the inconvenience of daily drug administration over long period of time, novel controllable finasteride delivery has been actively investigated. As a novel method of finasteride delivery, the development of finasteride‑loaded microspheres for subcutaneous administration is becoming increasingly pharmaceutically important. Therefore, the present study aimed t
FAT1 mutational status is a strong independent prognostic factor in patients with HPV-negative HNSCC. © 2016 The Authors Head & Neck Published by Wiley Periodicals, Inc. Head Neck 38: E2021-E2029, 2016.
We discussed the current status of the clinical use, benefits, and risks of CPBMI. CPBMI and information technology-based health management tools are anticipated to become useful and effective components of healthcare management in the future.
Eukaryotic organisms have developed a variety of mechanisms to regulate translation post-transcriptionally, including but not limited to the use of miRNA silencing in many species. One method of post-transcriptional regulation is through miRNAs that bind to the 3' UTRs to regulate mRNA abundance and influence protein expression. Therefore, the diversity of mRNA 3' UTRs mediating miRNA binding sites influence miRNA-mediated regulation. Alternative polyadenylation, by shortening mRNA isoforms, inc
The TMA-OM provides a comprehensive data model for storage, analysis, and exchange of TMA data and facilitates model-level integration of other biological models.
Systematic discovery and evaluation of the wide spectrum of ADR signals using standard-based observational electronic health record data across many institutions will affect drug development and use, as well as postmarketing surveillance and regulation.
NUDT15 and TPMT are strong genetic determinants of thiopurine toxicity in pediatric acute lymphoblastic leukemia (ALL) patients. Since patients with NUDT15 or TPMT deficiency suffer severe adverse drug reactions, star (*) allele-based haplotypes have been used to predict an optimal 6-mercaptopurine (6-MP) dosing. However, star allele haplotyping suffers from insufficient, inconsistent and even conflicting designations with uncertain and/or unknown functional alleles. Gene-wise variant burden (GV
mantic interoperability of the CCR/CCD standard with the metadata technology. CCR+ functions as a (data) surrogate of a person in an integrated distributed intelligence platform or the Health Avatar Platform (HAP). HAP is a run-time environment for distributed intelligence programming of health agents, which are expected to provide a variety of health services to CCR+ surrogates with privacy-controlled access to personal and private big data using open application programming interfaces (APIs).
Despite substantial premarket efforts, a significant portion of approved drugs has been withdrawn from the market for safety reasons. The deleterious impact of nonsynonymous substitutions predicted by the SIFT algorithm on structure and function of drug-related proteins was evaluated for 2504 personal genomes. Both withdrawn (n = 154) and precautionary (Beers criteria (n = 90), and US FDA pharmacogenomic biomarkers (n = 96)) drugs showed significantly lower genomic deleteriousness scores (P < 0.
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