▶Opening Remarks
Ladies and gentlemen, welcome.
It is my great honor and privilege to welcome you all to the 17th Seoul International New Pharmaceuticals Forum, co-hosted by The Financial News, the Korea Research Institute of Chemical Technology(KRICT), and the Korea Institute of Toxicology(KIT).
I would like to take this opportunity to extend my deepest gratitude to President Lee, Young Kuk of KRICT for his longstanding partnership and unwavering support of this Forum since its inception. I also warmly welcome Director Heo, Jung Doo of KIT, who joins us as a co-host for the first time this year. My sincere thanks also go to Vice President Pyo, Jun Hee of the Convergence AI Institute for Drug Discovery at the Korea Pharmaceutical and Bio-Pharma Manufacturers Association, who will deliver today’s keynote address on the tangible outcomes and future prospects of AI-powered drug development.
Under the theme “The Future of Drug Discovery Powered by AI,” this Forum offers a timely and meaningful platform to explore how artificial intelligence—an innovation at the forefront of today’s technological revolution—can be applied to drug development for the advancement of global health and well-being.
As many of you are well aware, drug discovery is a domain that demands immense time and financial investment, often with very low success rates. Statistically, only one in every 10,000 drug candidates becomes a viable product, and the average development period exceeds a decade. Now, however, the emergence of artificial intelligence is bringing about a paradigm shift in this field. AI is not only accelerating the process, but also expanding the very boundaries of what is possible in research and development.
One striking example is a U.S.-based AI drug discovery company that reached the clinical trial stage in just 18 months—a remarkable feat that illustrates the disruptive potential of AI. It is encouraging to see Korean pharmaceutical companies also actively integrating AI into their R&D efforts in response to this global trend. Yet, the road ahead remains challenging. The AI-driven drug development market is projected to grow to approximately USD 5 billion by 2028. The benefits of this growth will accrue to those who secure technological leadership and data sovereignty.
I hope today’s Forum will not only serve as a venue for knowledge sharing, but also as a meaningful starting point for deeper reflection and dialogue on how we can collectively strengthen the global competitiveness of Korea’s pharmaceutical and biotech industries through AI.
Once again, I thank you for your presence and participation.
I wish you all continued health and success.
Thank you.
Jeon, Jae Ho
Chairman, The Financial News
▶ Introduction
Artificial Intelligence(AI) has emerged as the core of advanced technology worldwide. It is now
accepted that the use of AI has a decisive impact on the competitiveness of companies and countries.
It would normally take more than a decade to develop a new drug, with billions of dollars spent on
research and development(R&D). The chances of success are slim, with only one in 10,000 candidates
making it to market as a new drug. Incorporating AI into the drug discovery process can dramatically
improve the efficiency by reducing time to market and lowering R&D costs.
In fact, last year, U.S.- based AI drug discovery company, Recursion Pharmaceuticals received approval
for a clinical trial of REC-1245, an anticancer drug discovered using an AI platform. Unlike traditional drugs,
it took only 18 months from target discovery to clinical trial preparation. This demonstrates that AI-powered
drug discovery is a viable option.
This has significant implications for drug developers both in Korea and abroad. It serves as a wake-up call
that Korea should not fall behind in the race for AI-based drug discovery. Many biopharmaceutical companies
in Korea, including Yuhan Corporation, Chong Kun Dang, Daewoong Pharmaceutical, Hanmi Pharmaceutical
and SK Biopharmaceuticals, are also stepping up their efforts to use AI in drug discovery.
According to a report by the Korea Health Industry Development Institute, the AI-based drug discovery market
is projected to grow rapidly from $900 million in 2023 to $4.9 billion in 2028. However, beyond the expansion
n market size, AI is expected to have an even greater impact by fundamentally transforming the R&D paradigm
of drug discovery.
Against this backdrop, the Financial News, the Korea Research Institute of Chemical Technology, and
the Korea Institute of Toxicology organized this forum to shed light on the current state of drug discovery
powered by AI and discuss the challenges that need to be overcome to stay ahead of the competition in the future.
The theme of the ‘17th Seoul International New Pharmaceuticals Forum’ is ‘The Future of Drug Discovery Powered by AI.’
It will explore in depth the innovations in drug discovery enabled by AI technology and strategies for Korean
companies to remain competitive in the global market.
▶ Overview
Title : The 17th Seoul International New Drug Forum
Theme : The Future of Drug Discovery Powered by AI
Date : June 18(Wed), 2025 09:00 ~ 14:30
Venue : Conrad Seoul Hotel, Park Ballroom(5F)
Host : Financial News, Korea Research Institute of Chemical Technology,
Korea Institute of Toxicology
Sponsors : Ministry of Health and Welfare, Ministry of Food and Drug Safety(MFDS),
Ministry of Science and ICT, Ministry of Trade, Industry and Energy(MOTIE),
Korea Pharmaceutical and Bio-Pharma Manufacturers Association(KPBMA),
Korea Bio Association, Korea Research-based Pharma Industry Association(KRPIA)
Contact : Seoul International New Drug Forum Secretariat
Tel. 02-6965-0024 / E-mail. 8amwon@fnnews.com
| Time | Section | Program |
|---|---|---|
| 08:00 - 09:00 | Registration | |
| 09:00 - 09:05 | Opening |
Opening Remarks Jeon, Jae Ho Chairman, The Financial News |
| 09:05 - 09:15 | Welcoming Remarks Lee, Young Kuk President, Korea Research Institute of Chemical Technology Heo, Jung Doo Director, Korea Institute of Toxicology |
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| 09:15 - 09:20 | Congratulatory Remarks Kang, Seog Youn Director, National Institute of Food and Drug Safety Evaluation, MFDS |
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| 09:20 - 10:00 | Keynote | Achievements and prospects of AI-based drug discovery Pyo, Jun Hee Vice President, Convergence AI Institute for Drug Discovery, KPBMA |
| 10:00 - 10:30 | Speech 1 | Protein Analysis in the AlphaFold Era Milot Mirdita Postdoctoral Researcher, Seoul National University |
| 10:30 - 11:00 | Speech 2 | AI-driven ADMET prediction platform to accelerate drug discovery Jang, Ji Don Senior Researcher, Data Convergence Drug Research Center, KRICT |
| 11:00 - 11:30 | Speech 3 | Automated toxicological pathology evaluation using AI technology Cho, Jae Woo Senior Researcher, Toxicologic Pathology Research Center, KIT |
| 11:30 - 12:00 | Speech 4 | HyPepTox-Fuse: An Integrative Computational Approach Leveraging Protein Language Models and Transformer Architectures for Enhanced Peptide Toxicity and Therapeutic Function Prediction Balachandran Manavalan Associate Professor, Sungkyunkwan University |
| 12:00 - 13:00 | Luncheon | |
| 13:00 - 13:30 | Speech 5 | Molecular design using AI models Kim, Woo Youn Professor, Chemistry, KAIST |
| 13:30 - 14:10 | Panel Discussion |
Moderator Pyo, Jun Hee Vice President (Acting President), Convergence AI Institute for Drug Discovery, KPBMA Panelists Kim, So Hee Director of Cardiovascular & Neurology Products Division, MFDS Nam, Hyouk Mo Director, Advanced Biotechnology Division, Ministry of Science and ICT Kim, Kwang Rok Director, Therapeutics & Biotechnology Division, KRICT Jung, Kyung Jin Director, Division of Next-Generation Non-Clinical Research, KIT Choi, Jae Mun CEO of Calici Co., Ltd |
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Pyo, Jun HeeVice President (Acting President), Convergence AI Institute for Drug Discovery, KPBMA
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Milot MirditaPostdoctoral Researcher, Seoul National University
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Jang, Ji Don
Senior Researcher, Data Convergence Drug Research Center, KRICT
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Cho, Jae Woo
Senior Researcher, Toxicologic Pathology Research Center, KIT
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Balachandran ManavalanAssociate Professor, Sungkyunkwan University
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Kim, Woo Youn
Professor, Chemistry, KAIST
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Kim, Kwang RokDirector, Therapeutics & Biotechnology Division, KRICT
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Kim, So HeeDirector of Cardiovascular & Neurology Products Division, MFDS
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Nam, Hyouk MoDirector, Advanced Biotechnology Division, Ministry of Science and ICT
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Jung, Kyung Jin
Director, Division of Next-Generation Non-Clinical Research, KIT
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Choi, Jae MunCEO of Calici Co., Ltd
Education BS. in Seoul National University School of Pharmacy MS in Harvard School of Public Health Ph.D in Ulsan University, College of Medicine Professional Experience (present) Vice Chief, Convergence AI Institute for Drug Discovery (present) Adjunct Professor, Seoul National University, Graduate School of Convergence Science and Technology (former) Data Scientist, Roche (former) Researcher, Tufts Medical Center
Education 2022 Dr. rer. nat. (summa cum laude), Max-Planck Institute for Multidisciplinary Sciences, University of Göttingen, Göttingen, Germany 2016 M.Sc. in Computer Science, LMU, Munich, Germany 2014 B.Sc. in Bioinformatics, LMU & TUM, Munich, Germany Until 2010 Abitur, Schönbuch Gymnasium, Holzgerlingen, Germany Professional Experience 2022-present Postdoctoral fellow, Seoul National University 2022 Researcher, Max-Planck Institute for Biophysical Chemistry 2017-2022 PhD candidate, Max-Planck Institute for Biophysical Chemistry 2014-2017 Research assistant, Max-Planck Institute for Biophysical Chemistry Gene Center, Ludwig Maximilian University 2011-2012 Research assistant, Technical University of Munich
Education 2022 Ph.D., KAIST, Department of Chemical and Biomolecular Engineering 2018 M.S., KAIST, Graduate School of EEWS 2016 B.S., KAIST, Department of Chemical and Biomolecular Engineering Professional Experience 2022-present Senior Researcher, Korea Research Institute of Chemical Technology, Data Convergence Drug Research Center
Academic Career 2015 PhD in Veterinary Pathology, Jeonbuk National University 2002 MS in Veterinary Pathology, Jeonbuk National University 2000 BS in Veterinary Medicine, Jeonbuk National University Professional Experience 2002-present Senior Researcher/Toxicologic Pathologist, Korea Institute of Toxicology (KIT) 2020-present Principal Researcher, Smart AI Lab for Toxicity Assessment, Korea Institute of Toxicology(KIT)
Dr. Manavalan earned his Ph.D. in Computational Biology from Ajou University in 2011. His professional journey includes a research fellowship at the Korea Institute for Advanced Study (KIAS) from 2011 to 2017, followed by research positions at Ajou University Medical School until 2022. Since joining SKKU in early 2022, Dr. Balachandran Manavalan is an Associate Professor at the Department of Integrative Biotechnology, Sungkyunkwan University (SKKU), where he leads the Computational Biology and Bioinformatics Laboratory. His research interests are bioinformatics, data mining, and machine learning, with a strong focus on developing advanced computational and artificial intelligence (AI) methodologies, particularly deep learning and ensemble learning strategies. His work is focused on developing robust and high-precision AI-driven predictive models for a wide array of biological and biomedical challenges. He has introduced several novel computational frameworks, including feature representation learning, itereative feature representation learning, and adaptive learning. These frameworks have been widely applied in different research fields. Manavalan has consistently contributed cutting-edge solutions to pressing challenges in biotechnology and computational life sciences, with his prolific publication record in high-impact journals (over 130 research papers) underscoring the significant influence of his work. He has been listed as the top 2% highly cited researcher in the field of Bioinformatics from 2020 to now. Based on the high-quality publication, he has been ranked 6th in peptide and 18th in Bioinformatics, according to ScholarGPS. Also, he has been ranked 6th in Dr. Manavalan is also noted for integrating multi-modal deep learning frameworks that combine molecular sequences, structures, and images, enhancing both model accuracy and interpretability, with a strong emphasis on Explainable AI (XAI). His commitment to open science is evident through the regular release of source codes and web-based tools, fostering broader scientific utility. Academically, Dr. Manavalan earned his Ph.D. in Computational Biology from Ajou University in 2011. His professional journey includes a research fellowship at the Korea Institute for Advanced Study (KIAS) from 2011 to 2017, followed by research positions at Ajou University Medical School until 2022. Since joining SKKU in early 2022, Professor Manavalan has consistently contributed cutting-edge solutions to pressing challenges in biotechnology and computational life sciences, with his prolific publication record in high-impact journals underscoring the significant influence of his work.
Education 2009 Ph.D. Chemistry, POSTECH, Pohang, Korea 2004 B.S. Chemistry and Physics, POSTECH, Pohang, Korea Professional Experience 2011-present Assist./Assoc./Full Professor, Department of Chemistry, KAIST, Daejeon, Korea 2020-present CEO and Co-Founder, HITS Inc., Seoul, Korea 2024 Vice Director, Convergence AI Institute for Drug Discovery, Korea Pharmaceutical and Bio-Pharma Manufacturers Association, Seoul, Korea 2022-2024 Director, Korea AI Center for Drug Discovery and Development, Korea Pharmaceutical and Bio-Pharma Manufacturers Association, Seoul, Korea 2010 Postdoctoral Fellow, Max-Planck Institute of Microstructure Physics, Halle, Germany 2009 Postdoctoral Fellow, Department of Chemistry, POSTECH, Pohang, Korea
Education 1995-2000 Ph. D., Cancer Research Institute, Kanazawa University, Japan 1993-1995 MS, Department of Molecular Biology, Pusan National University, Korea 1985 –1989 BS, Department of Molecular Biology, Pusan National University, Korea Professional Experience 2023-present Director, Therapeutics & biotechnology division, Korea Research Institute of Chemical Technology, Korea 2008-present Principal Scientist, Medicinal Science Division, Korea Research Institute of Chemical Technology, Korea 2002-2007 Senior Scientist, Medicinal Science Division, Korea Research Institute of Chemical Technology, Korea 2000-2002 Postdoctoral fellow, Department of Pharmacology, Seoul National University, Korea 2000 Visiting scientist, Virus institute, Kyoto University, Japan
Dr. Kim is an expert in the evaluation of drug safety and efficacy, with over 27 years of experience at the Ministry of Food and Drug Safety (MFDS) of Korea. She currently serves as the director of the division of Cardiovascular and Neurological Products. Leveraging her deep expertise in drug review, she has led the development of various regulatory guidelines, proactively guiding the pharmaceutical industry in setting development directions and establishing a scientific framework for drug assessment. She has also been actively involved in a wide range of regulatory activities, including participation in ICH Expert Working Groups(EWGs). In particular, as emerging technologies such as pharmacometrics, pharmacogenomics, and artificial intelligence(AI) are increasingly applied in drug development, Dr. Kim has played a key role in providing regulatory guidance to support their integration into the pharmaceutical field.
After graduating from the Department of Public Administration at Korea University (Bachelor's degree) and George Washington University with a major in Economics (Master's degree), I entered the Ministry of Science and Technology (currently the Ministry of Science and ICT) as a civil servant in 2007 after passing the 50th Administrative Examination. Throughout my career, I have been responsible for various tasks such as personal basic research support, overall management of basic research R&D, and formulation of science and technology policies. After being promoted to a director, I served as the head of the finance team and the personnel team. In January 2024, I assumed the position of Director of Bioscience Technology Division, where I am responsible for fostering advanced fields in bioscience such as synthetic biology and supporting overseas expansion of bio-venture companies. (The Division name has been changed to Advanced Biotechnology Division due to organizational restructuring on May 27th.)
Education 1996-2000 B.Sc. in Biochemistry, Dongguk University 2000-2002 M.S. in Pharmacy, Pusan National University 2002- 2006 Ph.D. in Pharmacy, Pusan National University Professional Experience 2009-현재 Principal Research Scientist, Korea Institute of Toxicology 2009-2020 Associate professor (adjunt), Toxicology, University of Sicence and Technology (UST) 2006-2009 Postdoctoral fellow, NIH/NCI, USA
Education 2005 Ph.D., Molecular and Human Genetics, Baylor College of Medicine 2001 M.S., Molecular Biology, Korea University 1999 B.S., Food Science and Biotechnology, Korea University Professional Experience 2023–Present Adjunct Professor, Korea University (Sejong) 2022–Present Associate Professor, Chungnam National University (Daejeon) 2018–Present CEO, Calici Therapeutics Inc. (USA)
| Location | CONRAD SEOUL ( 10 Gukjegeumyung-ro (Yeouido), Yeongdeungpo-gu, Seoul 07326, Korea ) |
|---|---|
| SUBWAY | Use the subway at Exit 3 of Yeouido Station on Line 5 and Line 9. Go straight along the moving walkway toward the subway exit → Enter the IFC Mall → Take the escalator to L1 → Find the entrance to Conrad Seoul between Garden Juno and shake shack burger |
| BUS | Disembark at Yeouido Transfer Center Station.
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| Get off at Korea Exchange (formerly Securities and Futures Exchange).
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| Get off at Yeouido Station. Seat Bus: 108 |
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| Get off at MBC. Circulating Bus: 61 |
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| TAXI | Incheon International Airport – Conrad Seoul Typical taxi service: Approximately KRW 70,000 Luxury taxi service: Approximately KRW 90,000 |
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