 Research Interests
- Artificial Intelligence: Machine Learning
- Bioinformatics: Computational Mass Spectrometry
Education
- 2012 Ph.D. in Mechanical and Information Engineering, University of Seoul, Korea.
- 2006 M.S. in Mechanical and Information Engineering, University of Seoul, Korea.
- 2004 B.S. in Mechanical and Information Engineering, University of Seoul, Korea.
Activities
- Fall 2008 - Spring 2009, Visiting student, Department of Computer Science and Engineering, University of California, San Diego, USA.
Publications
- Fast multi-blind modification search through tandem mass spectrometry.
Seungjin Na, Nuno Bandeira, and Eunok Paek*.
Molecular and Cellular Proteomics, 2012, 11, M111.010199. [ PMID: 22186716 ]
- Novel oxidative modifications in redox-active cysteine residues.
Jaeho Jeong, Yongsik Jung, Seungjin Na, Jihye Jeong, Eunsun Lee, Mi-Sun Kim, Sun Choi, Dong-Hae Shin, Eunok Paek, Hee-Yoon Lee*, and Kong-Joo Lee*.
Molecular and Cellular Proteomics, 2011, 10, M110.000513. [ PMID: 21148632 ]
- High-throughput peptide quantification using mTRAQ reagent triplex.
Joo Young Yoon, Jeonghun Yeom, Heebum Lee, Kyutae Kim, Seungjin Na, Kunsoo Park*, Eunok Paek*, and Cheolju Lee*.
BMC Bioinformatics, 2011, 12(Suppl 1), S46. [ PMID: 21342578 ]
- Target-Decoy with Mass Binning: A simple and effective validation method for shotgun proteomics using high resolution mass spectrometry.
Jong Wha J. Joo, Seungjin Na, Je-Hyun Baek, Cheolju Lee, and Eunok Paek*.
Journal of Proteome Research, 2010, 9, 1150-1156. [ PMID: 19908919 ]
- New Algorithm for the Identification of Intact Disulfide Linkages Based on Fragmentation Characteristics in Tandem Mass Spectra.
Seonhwa Choi, Jaeho Jeong, Seungjin Na, Hyo Sun Lee, Hwa-Young Kim, Kong-Joo Lee, and Eunok Paek*.
Journal of Proteome Research, 2010, 9, 626-635. [ PMID: 19902913 ]
- Prediction of novel modifications by unrestrictive search of tandem mass spectra.
Seungjin Na and Eunok Paek*.
Journal of Proteome Research, 2009, 8, 4418-4427. [ PMID: 19658439 ]
- Unrestrictive identification of multiple post-translational modifications from tandem mass spectrometry using an error-tolerant algorithm based on an extended sequence tag approach.
Seungjin Na, Jaeho Jeong, Heejin Park, Kong-Joo Lee, and Eunok Paek*.
Molecular and Cellular Proteomics, 2008, 7, 2452-2463. [ PMID: 18701446 ]
( 'An Eye for Modifications' in ASBMB Today - January 2009 )
- CIFTER: automated charge state determination for peptide tandem mass spectra.
Seungjin Na, Eunok Paek*, and Cheolju Lee.
Analytical Chemistry, 2008, 80, 1520-1528. [ PMID: 18247484 ]
- An Effective Data Analysis System for Improving Throughput of Shotgun Proteomics Data based on Machine Learning.
Seungjin Na and Eunok Paek*.
Journal of Korea Information Science Society, 2007, 34, 889-899.
- Quality assessment of tandem mass spectra based on cumulative intensity normalization.
Seungjin Na and Eunok Paek*.
Journal of Proteome Research, 2006, 5, 3241-3248. [ PMID: 17137325 ]
- MODi: a powerful and convenient web server for identifying multiple post-translational peptide modifications from tandem mass spectra.
Sangtae Kim, Seungjin Na, Ji Woong Sim, Heejin Park, Jaeho Jeong, Hokeun Kim, Younghwan Seo, Jawon Seo, Kong-Joo Lee, and Eunok Paek*.
Nucleic Acids Research, 2006, 34, W258-W263. [ PMID: 16845006 ]
Conferences
- A tag chain method for identification of multiple post-translational modifications. (Oral)
Seungjin Na, Jaeho Jeong, Heejin Park, Kong-Joo Lee, and Eunok Paek.
HUPO 7th Annual World Congress, Amsterdam, Netherlands, 2008, Aug.
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