Sanguk Kim

Prof. Sanguk Kim

orcid

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 August 2016 in Oncotarget
Verified
Journal Article
Open access
PDF file
SHSeong Kyu Han
Seong Kyu Han
DLDongyeop Lee
Dongyeop Lee
HLHeetak Lee
Heetak Lee
DKDonghyo Kim
Donghyo Kim
HSHeehwa G. Son
Heehwa G. Son
SKSanguk Kim
Sanguk Kim
OASIS 2: online application for survival analysis 2 with features for the analysis of maximal lifespan and healthspan in aging research

11 September 2011 in Nature Nanotechnology
Verified
Journal Article
Closed access
NCNam-Hyuk Cho
Nam-Hyuk Cho
TCTaek-Chin Cheong
Taek-Chin Cheong
JMJi Hyun Min
Ji Hyun Min
JWJun Hua Wu
Jun Hua Wu
SLSang Jin Lee
Sang Jin Lee
Seung-Yong SeongSeung-Yong Seong
Seung-Yong Seong

15 August 2011 in PLOS ONE
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Journal Article
Open access
PDF file
Jae-Seong YangJae-Seong Yang
Jae-Seong Yang
HNHyun-Jun Nam
Hyun-Jun Nam
MSMihwa Seo
Mihwa Seo
SHSeong Kyu Han
Seong Kyu Han
YCYonghwan Choi
Yonghwan Choi
SKSanguk Kim
Sanguk Kim
Aging is a fundamental biological process. Characterization of genetic and environmental factors that influence lifespan is a crucial step toward understanding the mechanisms of aging at the organism level. To capture the different effects of genetic and environmental factors on lifespan, appropriate statistical analyses are needed. We developed an online application for survival analysis (OASIS) that helps conduct various novel statistical tasks involved in analyzing survival data in a user-friendly manner. OASIS provides standard survival analysis results including Kaplan-Meier estimates and mean/median survival time by taking censored survival data. OASIS also provides various statistical tests including comparison of mean survival time, overall survival curve, and survival rate at specific time point. To visualize survival data, OASIS generates survival and log cumulative hazard plots that enable researchers to easily interpret their experimental results. Furthermore, we provide statistical methods that can analyze variances among survival datasets. In addition, users can analyze proportional effects of risk factors on survival. OASIS provides a platform that is essential to facilitate efficient statistical analyses of survival data in the field of aging research. Web application and a detailed description of algorithms are accessible from http://sbi.postech.ac.kr/oasis.

1 January 2013 in Metabolic Engineering
Verified
Journal Article
Closed access
SSSang Woo Seo
Sang Woo Seo
Jae-Seong YangJae-Seong Yang
Jae-Seong Yang
IKInhae Kim
Inhae Kim
JYJina Yang
Jina Yang
BMByung Eun Min
Byung Eun Min
GJGyoo Yeol Jung
Gyoo Yeol Jung

22 September 2005 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
SKSanguk Kim
Sanguk Kim
Tae-Joon JeonTae-Joon Jeon
Tae-Joon Jeon
AOAmit Oberai
Amit Oberai
DYDuan Yang
Duan Yang
JSJacob J. Schmidt
Jacob J. Schmidt
JBJames U. Bowie
James U. Bowie
We have observed a common sequence motif in membrane proteins, which we call a glycine zipper. Glycine zipper motifs are strongly overrepresented and conserved in membrane protein sequences, and mutations in glycine zipper motifs are deleterious to function in many cases. The glycine zipper has a significant structural impact, engendering a strong driving force for right-handed packing against a neighboring helix. Thus, the presence of a glycine zipper motif leads directly to testable structural hypotheses, particularly for a subclass of glycine zipper proteins that form channels. For example, we suggest that the membrane pores formed by the amyloid-β peptide in vitro are constructed by glycine zipper packing and find that mutations in the glycine zipper motif block channel formation. Our findings highlight an important structural motif in a wide variety of normal and pathological processes.

1 May 2000 in Journal of Magnetic Resonance
Verified
Journal Article
Closed access
JWJ. Wang
J. Wang
JDJ. Denny
J. Denny
CTC. Tian
C. Tian
SKSanguk Kim
Sanguk Kim
YMY. Mo
Y. Mo
TCT.A. Cross
T.A. Cross