E. Erman et al., BBA, 2002, Kathrin H. Hopmann et al.,Ref. Mod. In Chem. Mol. Sci. and Chem. Eng., 2010 蛋白質X線結晶構造解析 Protein X-ray crystallography 創薬 Drug Discovery 産業用酵素 Applied Enzymology 蛋白質設計 De novo Protein Design 機能解明 Function understanding 分子動力学 Molecular Dynamics 基礎科学, Fundamental Science 応用科学, Applied Science
startup companies. Rock Imager2 (Formulatrix) CrysCam (ARI Instrument) Price: >1000万円 >300万円 Plate Capacity: 2 1 Can multiuser see the images?: No -- Manage plates?: Yes No Easy add external function?: No No Reference: FORMULATRIX (http://www.formulatrix.com), Art Robbins Instruments, LLC.(http://www.artrobbins.com) (Noguchi, Voet. will be submitted) 世界中の創薬研究と蛋白質科学研究の民主化を推し進めるため, DIY結晶観察装置Beagleを開発 Development of Beagle to bottom up for drug discovery and protein science in the world.
As cheaply as possible - 市販品以上のプレートキャパシティを持つ More plate capacity than commercial product - マルチユーザーが結果を同時に見ることができる Everyone can see results, not only single user - プレート管理機能を持つ Plate management function - OSS/OSHで開発し, 集合知で未来を切り開く. Developed by OSS/OSH and with future sustainability Design of Beagle (Noguchi, Voet. will be submitted) Reference: Autodesk. Fusion360 (http://www.Autodesk.co.jp) CAD(非公開, undisclosed)
>300万円 10-13万円 Plate Capacity: 2 1 6 Can multiuser see the images?: No -- Yes Manage plates?: Yes No Yes Easy add external function?: No No Yes (Noguchi, Voet. will be submitted) Reference: FORMULATRIX (http://www.formulatrix.com), Art Robbins Instruments, LLC.(http://www.artrobbins.com) Machine (非公開, undisclosed)
by beginners. • ディープラーニングによる結晶画像認識 Protein crystal recognition by deep learning (Noguchi, Voet. will be submitted) Future Architecture (非公開, undisclosed )
Raspberry Pi Foundation (http://www.raspberrypi.org), Arduino Foundation (http://www.Arduino.cc), SwitchScience (https://www.switch-science.com/catalog/3647/), Web camera Water sensor Temperature sensor
I developed a DIY protein crystal observation machine, Beagle. • デジタルファブリケーションの三種の神器を用いた, ラボDIYモノづくりは有望で無限の可 能性を有する. Using the three stuffs of digital fabrication, lab DIY manufacturing is promising. 現場の研究者が気がるにラボDIYものづくりを行えるよう, その知識体系やプラットフォームの整備と展開が今後必要. It is necessary to develop the knowledge system and platform to enable researchers to do DIY manufacturing. ラボDIYものづくりで, かゆいところに手が届くLab Automationを!
and Open Source Hardware. • インターネット上に技術情報を公開してくださったすべての著者 All authors who wrote technical articles on the internet. • LADEC2020運営の皆様 All staffs of LADEC2020 • KU LEUVEN (Belgium) The laboratory of biomolecular modelling and design Prof. Arnout Voet