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RNA secondary structure dynamics simulation including pseudoknots

Research Project

Project/Area Number 18K11519
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 62010:Life, health and medical informatics-related
Research InstitutionHirosaki University

Principal Investigator

Taneda Akito  弘前大学, 理工学研究科, 准教授 (70332492)

Project Period (FY) 2018-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2020: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
KeywordsRNA二次構造 / エネルギー地平 / 転写中フォールディング / RNAスイッチ / エネルギーランドスケープ / シュードノット構造 / 配列設計 / RNA-RNA間相互作用 / エネルギーバリアー予測 / RNA折り畳み経路予測 / ヒューリスティクス / 群知能 / アントコロニー最適化 / エネルギーバリア予測 / マスター方程式 / メタヒューリスティクス
Outline of Final Research Achievements

Secondary structures play important roles in the biological functions of RNAs. Co-transcriptional folding is a mechanism that can strongly affect functional RNA structures. Co-transcriptional folding simulation based on the master equation is a promising approach for predicting time-dependent behavior of secondary structure distribution during transcription. Pseudoknots are important functional motifs and are dealt with in secondary structure level. In the present study, we developed a computational method for sampling the secondary structures that compose an RNA secondary structure energy landscape; the developed sampling method was applied to co-transcriptional folding simulation that utilizing RNA secondary structure dynamics simulation including pseudoknots.

Academic Significance and Societal Importance of the Research Achievements

ゲノム情報が普及しつつある現代社会において、生体配列情報の重要性は高まっている。その一方でRNAの機能はまだ不明なことが多い。二次構造などの高次構造を解析するための手法の発展はRNA機能解析に資することから、RNA構造予測の成果は社会へ還元されることが期待できる。RNA構造ダイナミクスをシミュレートするための方法論はまだ発展途上であり、新手法の開発はRNA構造予測分野における日本の国際的なプレゼンスを上げることにつながる。

Report

(5 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Research-status Report
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (3 results)

All 2021 2019

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Open Access: 1 results) Presentation (1 results)

  • [Journal Article] A Web Server for Designing Molecular Switches Composed of Two Interacting RNAs2021

    • Author(s)
      Taneda Akito、Sato Kengo
    • Journal Title

      International Journal of Molecular Sciences

      Volume: 22 Issue: 5 Pages: 2720-2720

    • DOI

      10.3390/ijms22052720

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Ant colony optimization for predicting RNA folding pathways2019

    • Author(s)
      Takitou Seira、Taneda Akito
    • Journal Title

      Computational Biology and Chemistry

      Volume: 83 Pages: 107118-107118

    • DOI

      10.1016/j.compbiolchem.2019.107118

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Presentation] RNAシュードノット構造を考慮した自由エネルギーランドスケープに関する検討2021

    • Author(s)
      種田 晃人
    • Organizer
      2021年日本バイオインフォマティクス学会年会・ 第10回生命医薬情報学連合大会(IIBMP2021
    • Related Report
      2021 Annual Research Report

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Published: 2018-04-23   Modified: 2023-01-30  

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