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Where and how to house big data on small fragments
Daniel A Erlanson1, Stephen K Burley2,3, Daren Fearon4
1Frontier Medicines Corporation, South San Francisco, CA, USA.
Crystallographic fragment screening is booming, but data sharing lags. Establishing data preservation mechanisms is crucial for research advancement and AI model training.
Area of Science:
- Drug discovery and structural biology
Background:
- Fragment screening by crystallography has rapidly advanced, with specialized platforms and libraries now widely available.
- Despite numerous crystallographic fragment-screening campaigns, the associated data remains largely unpublished and inaccessible.
Purpose of the Study:
- To highlight the critical need for effective data preservation strategies for crystallographic fragment-screening datasets.
- To emphasize the importance of data accessibility for future research and the development of AI models.
Main Methods:
- Perspective piece discussing the current state and future needs of crystallographic fragment screening data management.
Main Results:
- Hundreds of crystallographic fragment-screening campaigns have generated vast amounts of data.
- Most of this valuable data is not publicly accessible, hindering scientific progress.
Conclusions:
- Urgent development of robust data preservation and accessibility mechanisms is required.
- Accessible datasets are essential for advancing crystallographic fragment screening research and enabling AI-driven drug discovery.
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