Abstract

Symposium Sessions

Day 1, May 15（Mon.）　13:30-14:00　Room C (Room 1009)

1C-S-1330　　PDF

Trends in Biodatabases: Expectations for Mass Spectrometry Databases

(Kyushu Univ.)
^oTakashi Ito

The field of life sciences is experiencing remarkable progress, with biodata becoming increasingly diverse, complex, and abundant. To enable future research in this field, it is essential to integrate and utilize such data through databases. A comprehensive database should have a repository that preserves raw data in a verifiable form and provides sufficient metadata for domain experts to select and use the data effectively. However, to facilitate cross-disciplinary research, databases should also target researchers outside their primary communities. This requires data quality assurance by experts and user-friendliness for non-experts. Every database should strive to expand its user base while pursuing a high-level vision to drive peak research in the field, attracting new comers and accelerate integrative research. When high-quality biodata reaches a critical mass, artificial intelligence (AI) can play a transformative role, as demonstrated by AlphaFold2. Databases, therefore, serve as fertile ground for innovation in life sciences. As the progress and spread of generative AI continues, it will transform the concept of database search. It is vital for the entire mass spectrometry community to discuss the ideal style of its database and how it can evolve in light of these developments.