| Project/Area Number |
26330334
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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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| Research Field |
Life / Health / Medical informatics
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| Research Institution | Nagahama Institute of Bio-Science and Technology |
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Principal Investigator |
Ikemura Toshimichi 長浜バイオ大学, バイオサイエンス学部, 客員教授 (50025475)
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| Co-Investigator(Kenkyū-buntansha) |
和田 健之介 長浜バイオ大学, バイオサイエンス学部, 教授 (90231026)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | ビッグデータ / 人工知能 / 時系列解析 / メタゲノム解析 / 核酸医薬 / 自己組織化マップ / 感染症ウイルス / オリゴヌクレイチド / インフルエンザウイルス / エボラウイルス / オリゴヌクレオチド組成 / オリゴヌクレオチド医薬 / 感染症RNAウイルス / RNA ウイルス / 機械学習 / tRNA / エボラ / インフルエンザ / SOM / RNAウイルス / ワードカウント / 病原性ウイルス / ゲノム配列 / 連続塩基組成 |
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| Outline of Final Research Achievements |
We have developed a BLSOM (Batch-learning SOM) for oligonucleotide compositions, which is suitable for big data analysis of genome sequences. It is an unsupervised machine-learning and thus enables unexpected knowledge discoveries. By using the AI-method for genomes of RNA viruses such as influenza virus, ebolavirus and MERS coronavirus, we found time-series and reproducible changes in oligonucleotide composition and, for these highly mutable viruses, we have developed a method for designing oligonucleotide drugs with long-term efficacy. By BLSOM analyses on higher animals such as human and Coelacanth, we found regions enriched by specific 5-mers that include CpG, a representative epigenetic marker, or by binding sequences of various transcription factors. These specific regions cluster densely in the vicinity of centromeres, which are known to form chromocenters. Therefore, we proposed a model on their roles in nuclear organization.
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