大規模自前データ取得と深層学習によるペプチド骨格修飾酵素群の優良人工基質の設計

• Project Area: Systems biosynthetics based on accumulation, prediction, and creation of biological reactions
• Project/Area Number: 25H01578
• Research Category: Grant-in-Aid for Transformative Research Areas (A)
• Allocation Type: Single-year Grants
• Review Section: Transformative Research Areas, Section (II)
• Research Institution: Kyoto University
• Principal Investigator: 後藤 佑樹 京都大学, 理学研究科, 教授 (70570604)
• Project Period (FY): 2025-04-01 – 2027-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥10,790,000 (Direct Cost: ¥8,300,000、Indirect Cost: ¥2,490,000); Fiscal Year 2025: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)