Beamline automation opens up cutting edges of Macromolecular crystallography
Abstract Over the last decade, Macromolecular crystallography (MX) has advanced significantly by developing brilliant micro-focus beamlines, highly sensitive and rapid-readout detectors, and sophisticated data collection systems. Automated data collection has made it possible to efficiently collect large amounts of diffraction data from microcrystals, which would be impossible to achieve manually. This has enabled high-resolution structural analysis of ultra-small crystals, efficient screening of compounds, and new MXs for structural dynamics analysis in crystal fields.
Authors
- Masaki Yamamoto (ORCID: https://orcid.org/0000-0002-1311-1768)
- Takashi Kumasaka (ORCID: https://orcid.org/0000-0001-9289-1557)
- Kunio Hirata (ORCID: https://orcid.org/0000-0002-1491-6509)
- Kazuya Hasegawa (ORCID: https://orcid.org/0000-0003-0331-1624)
- Seiki Baba (ORCID: https://orcid.org/0000-0002-2589-232X)
- Hiroaki Matsuura (ORCID: https://orcid.org/0000-0002-8659-9952)
- Nobuhiro Mizuno (ORCID: https://orcid.org/0000-0003-1632-8556)
- Hironori Murakami (ORCID: https://orcid.org/0000-0001-9578-5995)
- Yuki Nakamura (ORCID: https://orcid.org/0000-0002-0850-5818)
- Naoki Sakai (ORCID: https://orcid.org/0000-0001-8544-1187)
Institutions
- SPring-8 (JP)
- Japan Synchrotron Radiation Research Institute (JP)
Publication Details
- Journal
- Journal of Physics Conference Series
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1088/1742-6596/3010/1/012123
- Primary Topic
- Enzyme Structure and Function
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Agency for Medical Research and Development