Establishment of systems-based prediction method for drug adverse effects.

2015 Fiscal Year Final Research Report

• Project/Area Number: 24249034
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Applied pharmacology
• Research Institution: The University of Tokyo
• Principal Investigator: Suzuki Hiroshi 東京大学, 医学部附属病院, 教授 (80206523)
• Co-Investigator(Kenkyū-buntansha): HONMA Masashi 東京大学, 医学部附属病院, 特任准教授 (60401072)
• Project Period (FY): 2012-10-31 – 2016-03-31
• Keywords: 薬剤反応性 / 薬理学 / シミュレーション

Outline of Final Research Achievements

We aimed to develop the systems-based prediction method for drug adverse reactions. In the present study, we focused on drug cardiotoxicity and constructed a comprehensive systmes-biological model of cardiomyocyte proliferation and apoptosis. We also developed a novel method to determine the allowable parameter ranges for the network behavior to satisfy some constraints, which reflects the features of cell proliferation and apoptosis. Application of this novel analysis method to the comprehensive cardiomyocyte model provided better prediction of cardiotoxicity compared to the conventional method using static network analysis.

Free Research Field

応用薬理学