| Project/Area Number |
21K03735
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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 17050:Biogeosciences-related
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| Research Institution | Tokyo Institute of Technology |
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Principal Investigator |
ママジャノフ イリーナ 東京工業大学, 地球生命研究所, 特任教授 (80776261)
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| Co-Investigator(Kenkyū-buntansha) |
ジャー トニーズィ 東京工業大学, 地球生命研究所, 特任助教 (10800328)
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| Project Period (FY) |
2021-04-01 – 2022-03-31
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| Project Status |
Completed (Fiscal Year 2021)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2023: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2022: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2021: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | hyperbranched polymer / polyester / wet-dry cycle / smart material / protoenzyme / biomimetic catalysis / chemical evolution / origin of life / nanoparticle / biomimetic catalyst |
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| Outline of Research at the Start |
Key question: How did enzymes emerge and evolve from prebiotic systems?
Hypothesis: Protoenzymes employed metallic and small molecule cofactors, similar to modern ones, which were scaffolded by prebotically available globular polymers, such as HBP instead of proteins and RNA.
Research methods: The project would include the study of the synthesis of HBP-NPs under prebiotic conditions and their characterization.
Importance: A successful outcome of the project would further our fundamental understanding of the origin of enzymatic catalysis, a mechanism that governs all biochemical transformations.
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| Outline of Annual Research Achievements |
We developed solid-state nuclear magnetic resonance (NMR) methods for detecting water bound and immobilized inside hyperbranched polymers. Based on the results we were able to classify the different polymers based on their water content. This property will become important at the later stages when designing catalysts for specific reactions. We optimized synthesize and analyze depsipeptide hyperbranched polymers. The polymers are synthesized by reacting a polyester matrix with amino acids. We have devised optimal amino acid mixes that allow for detectable selection without overwhelming the analysis.
We studied in more detail a lysine based hyperbranched polymer and it's catalytic ability. We found that polysine is capable of efficient catalysis of Kemp elimination.
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