Ri Han 한리

Ph.D. Candidate · Computer-Aided Drug Design

Chemical/Bioinformatics Lab · Dept. of Global Innovative Drugs, Chung-Ang University

✉ ri.han.cadd@gmail.com Scholar ORCID GitHub LinkedIn

Summary

I am a Ph.D. student in the Department of Global Innovative Drug at Chung-Ang University, conducting research in the Chem/Bioinformatics Laboratory under the guidance of Professor Yoonji Lee.

My academic focus lies in the sequence–structure analysis of Purinergic receptors, employing computational methods such as FEP (Free Energy Perturbation) calculations, MD (Molecular Dynamics) simulations, and molecular docking.

Outside the lab, I am a passionate insect enthusiast who enjoys raising silkworms and rhinoceros beetles.

Education

2023

Ph.D. Candidate, Global Innovative Drugs

Chung-Ang University, Seoul, South Korea

Chemical/Bioinformatics Lab · Advisor: Prof. Yoonji Lee

2023 – Present

2021

M.S., Pharmacy

Chung-Ang University, Seoul, South Korea

Chemical/Bioinformatics Lab · Advisor: Prof. Yoonji Lee

2021 – 2023

2009

B.S., Life Sciences

Daejin University, Pocheon, Gyeonggi, South Korea

2009 – 2013

Honors & Awards

2025

Best Poster Award (2nd Class)

Asia Hub for e-Drug Discovery Symposium 2025 (AHEDD2025)

MetaboGNN: Prediction of liver metabolic stability using graph neural networks and cross-species data

2024

PSK Travel Award

2024 Fall International Convention of the Pharmaceutical Society of Korea

Improving Structure–Activity Relationship Predictions in Lead Optimization Using Free Energy Perturbation

2023

Grand Prize (Minister Award)

New Drug Development AI Competition, hosted by MSIT

The 1st New Drug Development AI Competition “JUMP AI 2023”

Best Poster Presentation Award

14th AIMECS (AFMC International Medicinal Chemistry Symposium)

Structural Analysis of Purinergic P1 and P2Y Receptors: Insights into Ligand Recognition and Selectivity

Publications

Author in bold = page owner. Full list on Google Scholar.

2025

MetaboGNN: predicting liver metabolic stability with graph neural networks and cross-species data

J. H. Park, R. Han, J. Jang, J. Kim, J. Paik, J. Heo, Y. Lee

Journal of Cheminformatics, 17(1):140 DOI ↗

Unique molecular architecture of N-glycosylated TM4SF5 dimer highlights evolutionary and structural divergence among small four-transmembrane protein families

Y. Lee, J. E. Kim, W. Kim, S. Kim, R. Han, et al.

Journal of Advanced Research DOI ↗

2023

Revolutionizing medicinal chemistry: the application of artificial intelligence (AI) in early drug discovery

R. Han, H. Yoon, G. Kim, H. Lee, Y. Lee

Pharmaceuticals, 16(9):1259 DOI ↗

Identification of a non-nucleoside reverse transcriptase inhibitor against human immunodeficiency virus-1

M. J. Kim, K.-L. Yu, R. Han, Y. Lee, K. Oh, J.-C. You

ACS Infectious Diseases, 9(8):1582–1592 DOI ↗

Systematic analyses of the sequence conservation and ligand interaction patterns of purinergic P1 and P2Y receptors provide a structural basis for receptor selectivity

R. Han, H. Yoon, J. Yoo, Y. Lee

Computational and Structural Biotechnology Journal, 21:889–898 DOI ↗

Skills

Computational Chemistry

MD Simulation Free Energy Perturbation (FEP) Molecular Docking

Domains

Structure-Based Drug Design GPCR / Purinergic Receptor Modeling AI in Early Drug Discovery

Languages

Korean — Native English — Beginner

Interests

Insect enthusiast — I raise silkworms and rhinoceros beetles, a hobby that grew into a recurring event among labmates and friends, the Silkworm Cocoon Sex-Guessing Contest (event · about silkworms).