Biography👩🏻‍💻

My research focuses on the identification of biomarkers associated with drug resistance and the characterization of novel compound modes of action, employing integrated multi-omics approaches. Moreover, a significant portion of my recent research has focused on enhancing clinical efficacy by conducting extensive analyses of large-scale biomedical omics and clinical datasets, harnessing advanced machine and deep learning techniques. In addition to my computational work, I am actively engaged in experimental wet lab research, where I validate predictions using cancer cell and stem cell models.

I am a 4th year PhD candidate at the college of Pharmacy, Seoul National University. I am supervised by Professor Hyun-Jin Cha. I earned my BSc in Food Biotech Sciences from Seoul National University, Korea.

Eun-Ji Kwon

Research interest🧏🏻‍♀️

  • Cell signaling in chemoresistance of cancer cell 

  • Cell signaling in pathogenicity of ‘Disease-in-a-Dish’ from human pluripotent stem cells 

  • Leveraging Data-Driven Approaches for Predicting Drug Mode of Action (MOA) and in vitro Validation

  • Prediction of phenotype signatures from public database

<span>Research interest🧏🏻‍♀️</span>

Skills✏️

  • R, Pyhton

  • Pytorch

  • Biology experiments

<span>Skills✏️</span>

Scholarships and awards🏆

  • Excellent poster Awards in KSMCB (2021)

  • Excellent poster Awards in SNU BioMax (2022)

  • Scholarship, BK21 Fellowship of Excellent Research Talent (2022)

  • Excellent Oral Awards in PSK (2023)

  • Travel Awards in KSBMB (2023)

  • Future Pharmacy Outstanding Paper Awards in PSK (2023)

<span>Scholarships and awards🏆</span>

Publication🎓

  1. In Silico Discovery of 5′-Modified 7-Deoxy-7-ethynyl-4′-thioadenosine as a HASPIN Inhibitor and Its Synergistic Anticancer Effect with the PLK1 Inhibitor

  2. TGFβ promotes YAP-dependent AXL induction in mesenchymal-type lung cancer cells

  3. Crosstalk between YAP and TGFb regulates SERPINE1 expression in mesenchymal lung cancer cells

  4. Deep learning approach based on transcriptome profile for data driven drug discovery

  5. Connectivity Map-based drug repositioning of bortezomib to reverse the metastatic effect of GALNT14 in lung cancer

  6. Systematic identification of a nuclear receptor-enriched predictive signature for erastin-induced ferroptosis

  7. Multiple isogenic GNE-myopathy modeling with mutation specific phenotypes from human pluripotent stem cells by vase editors

  8. Discovery of a Novel Template, 7-Substityted 7- Deasa-4’-Thiodadenosine Derivatives as Multi-Kinase Inhibitors

  9. Dichotomous role of Shp2 for naïve and primed pluripotency maintenance in embryonic stem cells

  10. TPX2 induces mitotic survival via BCL2L1 induction through YAP1 protein stabilization in human embryonic stem cells 

    Preparation

  11. AMPK activation by glycogen expenditure primes the exit of naive pluripotency 

  12. Epigenetic repression of CHCHD2 by repetitive enzyme dissociation favors survival from single cell dissociation due to attenuated Rho A kinase activity

  13. An Integrative Data-Driven Approach Identifies CCR6 as a Potent Therapeutic Target Addressing Cancer Resistance to EGFR Inhibitors

<span>Publication🎓</span>
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"College of Pharmacy, Seoul National University"

Testimonial
Eun-Ji Kwon
(PhD. candidates)

Contact .

“E-mail: [email protected]”

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