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'''HyoJung Ryu'''

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<u>'''Education'''</u>

*2011/03&nbsp;- 2018/08&nbsp;:&nbsp;Combined&nbsp;'''M.S/Ph.D.'''&nbsp;in Bioinformatics,&nbsp;UST (University of Science and Technology) KRIBB school, Daejeon, Korea 
*2009/05 - 2011/02&nbsp;:&nbsp;'''B.S.&nbsp;'''in Computer Science,&nbsp;NILE (National Institute for Lifelong Education), Seoul, Korea&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 

<u>'''Career'''</u>

*2019/04 - Present&nbsp;: Post-doctoral researcher, UNIST KOGIC, Ulsan, Korea 
*2018/10 - 2019/02&nbsp;: Researcher, KRIBB, Daejeon, Korea 

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<u>'''Research topics'''</u>

#Development of prediction score of protein function change by a genetic mutation 

*Protein 3D structure modeling&nbsp; 
**I-TASSER, RaptorX, Rosetta   
*Evaluation of protein structural features ( Geometrical/Stereo-chemical features) 
**PROCHECK, WHAT_CHECK, MolProbity   
*Scoring function development 

<img style="null" src=http://in.kogic.kr/ckfinder/userfiles/images/Concept_figure_2(1).png>

&nbsp; &nbsp; 2. Antigenic peptide-MHC binding affinity prediction with MD

*Molecular Dynamics(MD) simulation 
**Gromacs(2019.03 ver), Tinker   
*Binding affinity&nbsp;prediction 
**FoldX   
*IEDB big data 
**HLA-A type peptide list 
***Specific alleles&nbsp;: HLA-A*02:01, HLA-A*02:24&nbsp;     

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'''<img style="null" src=http://in.kogic.kr/ckfinder/userfiles/images/Concept.png>'''

2-1. Workflow - Generate reference set (MHC class I)

<img style="null" src=http://in.kogic.kr/ckfinder/userfiles/images/Refset_generation.png>