A playful tool for predicting protein-protein docking

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationMUM 2019 - 18th International Conference on Mobile and Ubiquitous Multimedia, Proceedings
EditorsGiulio Jacucci, Fabio Paterno, Michael Rohs, Carmen Santoro
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450376242
DOIs
Publication statusPublished - 2019 Nov 26
Event18th International Conference on Mobile and Ubiquitous Multimedia, MUM 2019 - Pisa, Italy
Duration: 2019 Nov 26 → …

Publication series

NameACM International Conference Proceeding Series

Conference

Conference18th International Conference on Mobile and Ubiquitous Multimedia, MUM 2019
CountryItaly
CityPisa
Period19/11/26 → …

Keywords

  • Body action
  • Citizen science
  • Gesture
  • Protein-protein docking

ASJC Scopus subject areas

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

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  • Cite this

    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. In G. Jacucci, F. Paterno, M. Rohs, & C. Santoro (Eds.), 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