2019 Fiscal Year Research-status Report
Optimal information processing in biophysical networks
| Project/Area Number |
18K03473
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| Research Institution | Okinawa Institute of Science and Technology Graduate University |
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Principal Investigator |
PIGOLOTTI Simone 沖縄科学技術大学院大学, 生物学的複雑性ユニット, 准教授 (30812193)
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| Co-Investigator(Kenkyū-buntansha) |
CHIUCHIU Davide 沖縄科学技術大学院大学, 生物学的複雑性ユニット, 研究員 (40817491)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Keywords | Information processing / Polymerization Kinetic / Proofreading Speed-error / tradeoff Chemical / networks Information / thermodynamics |
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| Outline of Annual Research Achievements |
In the second year of the Kakenhi project, we published two papers: Chiuchiu, Tu and Pigolotti Phys. Rev. Lett. 2019, Chiuchiu, Ferrare and Pigolotti PRE 2019. The first paper studies error correction and its fluctuations as a stochastic phenomenon. The second paper describes error correction using a continuous stochastic model.
In the last year of the project, our main objective is to complete the study of the optimal tradeoff between speed, dissipation, and accuracy in error-correcting reactions. This will be the most ambitious goal of this Kakenhi project
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
We published two papers, including one in a high impact journal (Physical Review Letters). We also obtained promising results on optimization of replication reactions. These results make us confident that we will be able to complete the proposed research plan during the third year of the project. On the other hand, our project on connecting mutation signatures with properties of replicating machine has progressed rather slowly due to technical difficulties. We anyhow expected that this project could involve higher risks and was likely to take more time. Overall, the status of the project is very satisfactory.
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| Strategy for Future Research Activity |
During the last year of the KAKENHI project, we will focus on finalizing our work on optimization of networks replicating information. We spent a significant amount of time during this year to develop an efficient algorithm that optimizes these networks according to given scores. The algorithm now is complete and we are obtaining the first results. The rest of the year will be devoted to produce extensive results for general replicating networks, analyzing these results, and writing a paper on these results. We expect this work to have a significant impact on the community working on this problem.
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| Causes of Carryover |
We will use the carry-over funds from the previous FY to fund traveling to conferences. In case traveling will not be possible due to COVID restrictions, we will use the funds to support a research intern or a student that can collaborate to the last part of the project.
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