Establishment of Data Science Platform for Accelerating Drug Discovery in Emerging Infectious Disease Pandemic

2023 Fiscal Year Final Research Report

• Project/Area Number: 22K19829
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 62:Applied informatics and related fields
• Research Institution: Nagoya University
• Principal Investigator: Iwami Shingo 名古屋大学, 理学研究科, 教授 (90518119)
• Project Period (FY): 2022-06-30 – 2024-03-31
• Keywords: 数理モデル

Outline of Final Research Achievements

To avoid healthcare collapse during emerging infectious disease outbreaks, establishing standard treatments is crucial. Drug repositioning strongly supports this by identifying existing drugs for new uses. However, the efficacy of approved drugs for emerging infectious diseases may differ due to their mechanism of action and target molecules, making it impossible to directly apply existing administration methods. Thus, there is a need for mathematical information infrastructure to overcome these challenges. This study focuses on interdisciplinary fusion research, emphasizing drug repositioning, which holds the potential to rapidly explore therapeutic options for infectious diseases. We have developed mathematical information infrastructure technology to explosively accelerate the establishment of standard treatments for COVID-19.

Free Research Field

数理生物学

Academic Significance and Societal Importance of the Research Achievements

現在、本国と他国との大きな違い・原因の１つに、感染症制御に対する異分野融合研究の経験値の差がある。本研究を実施する過程で、核となる複数大学と研究機関および関係省庁のネットワークが構築され、そして、新興感染症発生時には即座に疫学データ、ゲノムデータ、臨床データが収集・共有・解析され、流行対策や医療体制の構築にフィードバックされる仕組みが準備はじめた。