Korea Machine Learning
Ledger Orchestration For
Drug Discovery
Build a Federated Drug Discovery (FDD) platform capable of federating
The K-MELLODDY (Korea Machine Learning Ledger Orchestration for Drug Discovery)
project aims to develop an advanced AI model for drug discovery. Inspired by the EU
MELLODDY Project, which involved leading pharmaceutical companies like Merck, Pfizer,
Novartis, and
AstraZeneca, K-MELLODDY leverages Federated Learning (FL).
What We Do
The project aims to produce a Federated ADMET Model (FAM), which predicts key ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) and PK parameters, which are essential for drug discovery and clinical trials. By integrating longitudinal data from in-vitro, in-vivo, preclinical, and clinical sources, FAM will significantly improve prediction accuracy, accelerating the drug discovery process and reducing development risks.
After demonstrating the effectiveness of FAM, K-MELLODDY plans to address further drug development challenges such as drug-target interactions, drug-drug interactions, and pharmacogenetics. Supported by the Korean Ministry of Science and ICT and the Ministry of Health and Welfare, this five-year project (April 2024 – December 2028) has a total budget of $25 million USD and aims to foster a robust bioindustry ecosystem in Korea through secure, data-driven collaboration.
Sub Projects
- Develops and manages the Federated Learning-based Drug Discovery (FDD) platform.
- Operates the Federated ADMET Model (FAM) solution on the FDD platform.
- Ensures secure data management protocols are in place for each participating entity.
- Provides data to the FDD platform for federated learning, aiming to improve the global FAM model.
- Uses and evaluates the FAM model for relevant applications.
- Develops FAM solutions on the FDD platform to enhance prediction of ADMET and pharmacokinetic (PK) parameters.
Greeting
Head of the
K-MELLODDY Project
Korea Pharmaceutical and
Bio-Pharma Manufacturers Association
AI has become an essential tool in drug development. Global big tech companies like Google and NVIDIA are equipping themselves with AI, partnering with major global pharmaceutical companies to reshape the and scape of drug development and the digital bioindustry.
While Korea is also focusing on bio and AI as next-generation core industries, the current approach may not be enough to catch up with the already leading advanced countries. We urgently need a strategy to lead in the next-generation bio-AI convergence industry.
The K-MELLODDY project aims to create an ecosystem where expensive and difficult-to-share bio data can be safely utilized collaboratively and applied effectively to drug development.
We hope that the successful execution of this project will serve as a turning point for Korea to become
a leading country in the AI-driven bioindustry.
Thank you.
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