Evaluating Effectiveness of Accessibility to Infer RNA-RNA Interactions

• Yuki Kato

  Graduate School of Information Science, Nara Institute of Science and Technology (NAIST)

• Tomoya Mori

  Bioinformatics Center, Institute for Chemical Research, Kyoto University

• Kengo Sato

  Faculty of Science and Technology, Keio University

• Shingo Maegawa

  Graduate School of Informatics, Kyoto University

• Hiroshi Hosokawa

  Graduate School of Informatics, Kyoto University

• Tatsuya Akutsu

  Bioinformatics Center, Institute for Chemical Research, Kyoto University

抄録

RNA-RNA interaction is involved in post-transcriptional regulation of gene expression, and a good deal of effort has been made on computational prediction of RNA-RNA interactions from sequence data. Recently, a few studies have incorporated interaction site accessibility into their prediction methods, only indicating enhancement of predictive performance on limited interaction data. In this short report, we show the effectiveness of incorporating accessibility into our prediction model in both in silico and in vitro experiments. Our results reveal that elaborate incorporation of accessibility into our prediction method suggests the possibility of discerning real interacting RNAs.

収録刊行物

• 情報処理学会研究報告. BIO, バイオ情報学

  情報処理学会研究報告. BIO, バイオ情報学 2013 (3), 1-2, 2013-09-12

  一般社団法人情報処理学会

詳細情報

• CRID: 1570009753014835072
• NII論文ID: 110009605325
• NII書誌ID: AA12055912
• ISSN: 09196072
• 本文言語コード: en
• データソース種別:
  • CiNii Articles