Industry-Academia-Research Collaboration with Daewoong Pharmaceutical, Yonsei University, and the Mogam Institute
Building an AI-Driven Drug Development Ecosystem

Experimental Validation of AI-Derived Drug Candidates

GC Green Cross announced on May 15 that it has been selected as a core research institution for the "Establishment and Demonstration of a Multi-Agent AI Platform for the Entire Drug Development Cycle," a project organized by the Ministry of Science and ICT.


Green Cross Corporation logo image. Green Cross

Green Cross Corporation logo image. Green Cross

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This national project will receive approximately 17.7 billion won in government funding over a total of 57 months. The goal is to build a system in which expert AI agents based on large language models (LLMs) collaborate to autonomously carry out the entire drug development process, from target discovery to the selection of preclinical candidate substances.


GC Green Cross will be responsible for "platform demonstration," verifying and optimizing candidate substances identified by the AI platform through actual experiments. Through this, the company is expected to enhance the predictive accuracy of AI models for drug development and reduce the time required to identify new drug candidates.


The company possesses specialized capabilities to carry out the entire drug development process, from small molecule synthesis to drug activity and efficacy evaluation, as well as non-clinical research. In addition, the active internal adoption and utilization of various AI platforms is analyzed to have been a key strength in the company's selection as a research institution for this project.


Jaeuk Jung, Head of R&D at GC Green Cross, stated, "We will make every effort to enhance the completeness of the AI platform with the drug development experience accumulated by GC Green Cross, and thereby strengthen the global competitiveness of Korea's bioindustry."



Meanwhile, the project will be overseen by Yonsei University. Aizen, HITS, the Mogam Institute for Biomedical Research, and the Korea Research Institute of Bioscience and Biotechnology will be responsible for AI platform development, while GC Green Cross, Daewoong Pharmaceutical, and Yonsei University will handle platform validation.


This content was produced with the assistance of AI translation services.

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