A playful tool for predicting protein-protein docking

Keren Jiang, Di Zhang, Tsubasa Iino, Risa Kimura, Tatsuo Nakajima, Kana Shimizu, Masahito Ohue, Yutaka Akiyama

研究成果: Conference contribution

抜粋

In this paper, we propose a playful tool to predict protein-protein docking. The tool uses human bodies to explore better protein-protein docking, where it offers natural interactions to dock protein molecules in a flexible way and playful interactions through two users’ cooperative body movements. We present the design and implementation of the proposed tool and show potential opportunities and pitfalls of the current tool.

元の言語English
ホスト出版物のタイトルMUM 2019 - 18th International Conference on Mobile and Ubiquitous Multimedia, Proceedings
編集者Giulio Jacucci, Fabio Paterno, Michael Rohs, Carmen Santoro
出版者Association for Computing Machinery
ISBN(電子版)9781450376242
DOI
出版物ステータスPublished - 2019 11 26
イベント18th International Conference on Mobile and Ubiquitous Multimedia, MUM 2019 - Pisa, Italy
継続期間: 2019 11 26 → …

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference18th International Conference on Mobile and Ubiquitous Multimedia, MUM 2019
Italy
Pisa
期間19/11/26 → …

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • これを引用

    Jiang, K., Zhang, D., Iino, T., Kimura, R., Nakajima, T., Shimizu, K., Ohue, M., & Akiyama, Y. (2019). A playful tool for predicting protein-protein docking. : G. Jacucci, F. Paterno, M. Rohs, & C. Santoro (版), MUM 2019 - 18th International Conference on Mobile and Ubiquitous Multimedia, Proceedings [3368409] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3365610.3368409