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Title
Japanese:タンパク質間相互作用予測統合データベースMEGADOCK-WEBの改良とクラウド計算環境との連携 
English:Improvement of MEGADOCK-WEB integrated database for predicted protein-protein interactions, and its coordination with cloud environment for on-demand dockings 
Author
Japanese: 林孝紀, 山本悠生, 松崎由理, 大上雅史, 秋山泰.  
English: Takanori Hayashi, Yuki Yamamoto, Yuri Matsuzaki, Masahito Ohue, Yutaka Akiyama.  
Language Japanese 
Journal/Book name
Japanese:研究報告バイオ情報学（BIO） 
English:IPSJ SIG Technical Report 
Volume, Number, Page 2017-BIO-50    39    1-8
Published date June 16, 2017 
Publisher
Japanese:情報処理学会 
English: 
Conference name
Japanese:情報処理学会 第50回バイオ情報学研究会 
English: 
Conference site
Japanese: 
English: 
Official URL https://ipsj.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=182439&item_no=1&page_id=13&block_id=8
 
Abstract We developed a protein - protein docking software, called MEGADOCK, to understand protein - protein interactions (PPIs) comprehensively. We are also developing a database of predicted PPIs and its web - based interface, named MEGADOCK - WEB, to make users access a vast amount of PPIs predicted by MEGADOCK easily. In this study, we solved the problem about latency caused by the huge data size by reducing the number of accesses to other databases. Thereby, approximately 36 million predicted PPIs can be browsed on MEGADOCK - WEB. Furthermore, we implemented on MEGADOCK - WEB a new feature of on - demand PPI prediction between two input structures which are not registered in the datadase yet. In order to facilitate docking calculation by MEGADOCK as the back - end on cloud computing environment, we developed dedicated APIs. Via these APIs, MEGADOCK - WEB can work together with the back - end MEGADOCK on cloud computing environment.

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