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김선 교수

Sun Kim

서울대학교 · 생화학·유전·분자생물학

연구실 소개

김선 교수의 연구실은 생물의학적 데이터, 특히 에피제네틱스와 유전자 발현의 상호작용을 중심으로 암의 치료 내성 메커니즘을 규명하고 있습니다. 특히 난소암의 플라티넘 저항성 발달 과정에서의 DNA 메틸화 변화와 관련된 전사적 억제 메커니즘을 분석하며, 새로운 치료 타겟과 생물학적 마커를 도출하고자 합니다. 또한, 의료 텍스트에서 약물 상호작용을 자동으로 추출하고, 저자 이름의 다의어 문제를 해결하기 위한 자연어 처리 및 기계학습 기반의 정보 검색 기술 개발에도 주력하고 있습니다. 이는 약물 부작용 조기 경고 및 정확한 문헌 검색 경험 향상에 기여합니다.

에피제네틱스암 치료 내성약물 상호작용 추출저자 이름 다의어 해결생물정보학적 데이터 분석

연구 현황

논문 수
413
총 인용 수
4,942
최근 5년 논문
52
주요 분야
생화학·유전·분자생물학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
52총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
657총합
20212022202320242025

주요 논문

15
1
논문|인용수 232·2009
Integrated analysis of DNA methylation and gene expression reveals specific signaling pathways associated with platinum resistance in ovarian cancer
Meng Li, Curt Balch, John S. Montgomery, Mi-Kyoung Jeong, Jae Hoon Chung, Pearlly S. Yan, Tim H-M. Huang, Sun Kim, Kenneth P. Nephew
SJR Q3FWCI 6.6BMC Medical GenomicsOA

Selective epigenetic disruption of distinct biological pathways was observed during development of platinum resistance in ovarian cancer. Integrated analysis of DNA methylation and gene expression may allow for the identification of new therapeutic targets and/or biomarkers prognostic of disease response. Finally, our results suggest that epigenetic therapies may facilitate the prevention or reversal of transcriptional repression responsible for chemoresistance and the restoration of sensitivity

Molecular BiologyBiochemistry, Genetics and Molecular Biology
2
논문|인용수 180·2015
Extracting drug–drug interactions from literature using a rich feature-based linear kernel approach
Sun Kim, Haibin Liu, Lana Yeganova, W. John Wilbur
SJR Q1FWCI 7.5Journal of Biomedical InformaticsOA

Identifying unknown drug interactions is of great benefit in the early detection of adverse drug reactions. Despite existence of several resources for drug-drug interaction (DDI) information, the wealth of such information is buried in a body of unstructured medical text which is growing exponentially. This calls for developing text mining techniques for identifying DDIs. The state-of-the-art DDI extraction methods use Support Vector Machines (SVMs) with non-linear composite kernels to explore d

Molecular BiologyBiochemistry, Genetics and Molecular Biology
3
논문|인용수 82·2013
Author name disambiguation for <scp>P</scp>ub<scp>M</scp>ed
Wanli Liu, Rezarta Islamaj, Sun Kim, Donald C. Comeau, Won Bae Kim, Lana Yeganova, Zhiyong Lu, W. John Wilbur
SJR Q1FWCI 7.3Journal of the Association for Information Science and TechnologyOA

Log analysis shows that PubMed users frequently use author names in queries for retrieving scientific literature. However, author name ambiguity may lead to irrelevant retrieval results. To improve the PubMed user experience with author name queries, we designed an author name disambiguation system consisting of similarity estimation and agglomerative clustering. A machine-learning method was employed to score the features for disambiguating a pair of papers with ambiguous names. These features

Management Science and Operations ResearchDecision Sciences
4
논문|인용수 59·2008
Promoter hypomethylation of the N-acetyltransferase 1 gene in breast cancer
Sun Kim, Han‐Sung Kang, Hye Chang, Yoon Jung, Hyung-Bo Sim, Keun Lee, Jungsil Ro, Eun Young Lee
SJR Q1FWCI 2.6Oncology ReportsOA

Arylamine N-acetyltransferase type 1 (NAT1) is reported to be involved in the transfer of an acetyl group from acetyl-CoA to the terminal nitrogen of hydrazine and arylamine drugs or carcinogens. Gene-specific hypomethylation frequently occurs in a range of cancers and hypomethylation of the genes often correlates well with increased transcription levels. This study was conducted in order to evaluate the methylation status and the transcriptional activity of NAT1 in breast cancer tissues (n=72),

Molecular BiologyBiochemistry, Genetics and Molecular Biology
5
논문|인용수 49·2017
Bridging the gap: Incorporating a semantic similarity measure for effectively mapping PubMed queries to documents
Sun Kim, Nicolas Fiorini, W. John Wilbur, Zhiyong Lu
SJR Q1FWCI 4.8Journal of Biomedical InformaticsOA
Artificial IntelligenceComputer Science
6
논문|인용수 48·2003
Genetic Mining of HTML Structures for Effective Web-Document Retrieval
Sun Kim, Byoung‐Tak Zhang
SJR Q2FWCI 6.5Applied Intelligence
Information SystemsComputer Science
7
논문|인용수 47·2016
<i>Meshable</i>: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms
Sun Kim, Lana Yeganova, W. John Wilbur
SJR Q1FWCI 3.0BioinformaticsOA

Supplementary data are available at Bioinformatics online.

Molecular BiologyBiochemistry, Genetics and Molecular Biology
8
book chapter|인용수 40·2005
An Application of Support Vector Machines for Customer Churn Analysis: Credit Card Case
Sun Kim, Kyung‐shik Shin, Kyung‐Do Park
SJR Q2FWCI 11.9Lecture notes in computer science
MarketingBusiness, Management and Accounting
9
논문|인용수 34·2014
Correlation between Frailty and Cognitive Function in Non-Demented Community Dwelling Older Koreans
Sun Kim, Jun Li Park, Hwan Sik Hwang, Yeon‐Pyo Kim
SJR Q2FWCI 1.1Korean Journal of Family MedicineOA

Frailty was found to be correlated with cognitive impairment in non-demented older Koreans. However, further cohort studies are required to determine the association between frailty and cognitive function.

Geriatrics and GerontologyMedicine
10
논문|인용수 34·2011
PIE <i>the search</i>: searching PubMed literature for protein interaction information
Sun Kim, Dongseop Kwon, Soo-Yong Shin, W. John Wilbur
SJR Q1FWCI 1.5BioinformaticsOA

http://www.ncbi.nlm.nih.gov/IRET/PIE/.

Molecular BiologyBiochemistry, Genetics and Molecular Biology
11
논문|인용수 32·2016
BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID
Sun Kim, Rezarta Islamaj, Andrew Chatr‐aryamontri, Christie Chang, Rose Oughtred, Jennifer Rust, Riza Batista-Navarro, Jacob Carter, Sophia Ananiadou, Sérgio Matos, André Santos, David Campos
SJR Q1FWCI 3.7DatabaseOA

BioC is a simple XML format for text, annotations and relations, and was developed to achieve interoperability for biomedical text processing. Following the success of BioC in BioCreative IV, the BioCreative V BioC track addressed a collaborative task to build an assistant system for BioGRID curation. In this paper, we describe the framework of the collaborative BioC task and discuss our findings based on the user survey. This track consisted of eight subtasks including gene/protein/organism nam

Molecular BiologyBiochemistry, Genetics and Molecular Biology
12
논문|인용수 30·2006
BAG: a graph theoretic sequence clustering algorithm
Sun Kim, Jason Lee
SJR Q4FWCI 2.0International Journal of Data Mining and Bioinformatics

In this paper, we first discuss issues in clustering biological sequences with graph properties, which inspired the design of our sequence clustering algorithm BAG. BAG recursively utilises several graph properties: biconnectedness, articulation points, pquasi-completeness, and domain knowledge specific to biological sequence clustering. To reduce the fragmentation issue, we have developed a new metric called cluster utility to guide cluster splitting. Clusters are then merged back with less str

Molecular BiologyBiochemistry, Genetics and Molecular Biology
13
논문|인용수 30·2011
Classifying protein-protein interaction articles using word and syntactic features
Sun Kim, W. John Wilbur
SJR Q1FWCI 1.6BMC BioinformaticsOA

Even though problems still remain, utilizing syntactic information for article-level filtering helps improve PPI ranking performance. The proposed system is a revision of previously developed algorithms in our group for the ACT evaluation. Our approach is valuable in showing how to use grammatical relations for PPI article filtering, in particular, with a limited training corpus. While current performance is far from satisfactory as an annotation tool, it is already useful for a PPI article sear

Molecular BiologyBiochemistry, Genetics and Molecular Biology
14
논문|인용수 25·2007
Different outcomes of active and reflective students in problem-based learning
Yera Hur, Sun Kim
SJR Q1FWCI 11.0Medical Teacher

Overall, we have found that grouping students according to their varying learning styles can be very useful for specific and various learning outcomes.

EducationSocial Sciences
15
book chapter|인용수 23·2003
Graph Theoretic Sequence Clustering Algorithms and Their Applications to Genome Comparison
Sun Kim
FWCI 5.2WORLD SCIENTIFIC eBooks
Molecular BiologyBiochemistry, Genetics and Molecular Biology

대표 연구 분야

Molecular BiologyAerospace EngineeringAlgebra and Number TheoryPublic Health, Environmental and Occupational HealthArtificial IntelligenceLeadership and Management

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