Data-driven structural life sciences

Data-driven structural life science is a discipline that obtains large amounts of structural and dynamics information at the level of biomolecules, cells, tissues, and organs. Such information is essential for the Graduate Schools of Medicine, Sciences, Pharmaceutical Sciences, just as well as the Institute for Quantitative Life Sciences. Until recently, typical “structural biology” has mainly elucidated structures of biomolecules at the atomic level. However, structural life science is a cross-scale field that ranges from molecules to organs. Therefore, this project will promote combining various microscopes that allow for the collection of large amounts of data with high throughput. For example, a cryo-electron microscope collects several terabytes of data per day. To derive the structure from this data without bias and to use it for the elucidation of the underlying mechanisms of life phenomena and drug discovery, we would also promote data-driven life science using supercomputer systems, such as a large computer such as Wisteria/BDEC-01

Cryo-Electron Microscopy Methodology: Current Aspects and Future Directions. Danev, R., Yanagisawa, H., Kikkawa, M. Trends Biochem Sci 2019 44:837-848