| Project/Area Number |
25K15338
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 62010:Life, health and medical informatics-related
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| Research Institution | Nara Institute of Science and Technology |
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Principal Investigator |
AMIN MD.ALTAFUL 奈良先端科学技術大学院大学, 先端科学技術研究科, 准教授 (30379531)
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| Co-Investigator(Kenkyū-buntansha) |
NASUTION Ahmad・Kamal 奈良先端科学技術大学院大学, 先端科学技術研究科, 助教 (91003466)
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| Project Period (FY) |
2025-04-01 – 2028-03-31
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| Project Status |
Granted (Fiscal Year 2025)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2027: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2026: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2025: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | Antibiotic compounds / Natural products / Machine learning / Mechanism of antibiotics |
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| Outline of Research at the Start |
Under the currently proposed research, we will develop machine learning model for predicting mechanisms or mode of actions (MOAs) of antibiotics. First, we will collect a comprehensive set of antibiotic compounds from databases and other online sources. Next, we will perform unsupervised clustering to assess the diversity of chemical structures of the antibiotics and we will add sub-labels to antibiotics corresponding to statistically significant clusters. We then develop supervised clustering model and identify MOA specific important features
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