MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins
2025
MOBIDB in 2025: Enhancements for Intrinsically Disordered Proteins
publication
Evidence: high
Author Information
Author(s): Damiano Piovesan, Alessio Del Conte, Mahta Mehdiabadi, Maria Cristina Aspromonte, Matthias Blum, Giulio Tesei, Sören von Bülow, Kresten Lindorff-Larsen, Silvio C E Tosatto
Primary Institution: University of Padova
Conclusion
The MobiDB database has been significantly improved to provide better access to information about intrinsically disordered proteins and their functions.
Supporting Evidence
- MobiDB aggregates disorder annotations from literature and experimental evidence.
- The prediction module is now ten times faster and can classify disordered regions.
- The database has processed over 65,000 proteins from PDB data, a 26% increase from the previous version.
Takeaway
MobiDB is like a big library that helps scientists understand proteins that don't have a fixed shape, making it easier to find important information about them.
Methodology
The MobiDB database integrates data from various sources, updates its prediction modules, and enhances its user interface for better accessibility.
Digital Object Identifier (DOI)
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