AMYPdb: A Database for Amyloid Precursor Proteins
Author Information
Author(s): Pawlicki Sandrine, Le Béchec Antony, Delamarche Christian
Primary Institution: Université de Rennes I and CNRS UMR 6026
Hypothesis
The study aims to create a comprehensive database for amyloid precursor proteins to facilitate research on protein misfolding and aggregation.
Conclusion
AMYPdb is a comprehensive online database that centralizes bioinformatic data regarding all amyloid proteins and their precursors.
Supporting Evidence
- AMYPdb integrates data on 31 families, including 1,705 proteins from nearly 600 organisms.
- The database displays links to more than 2,300 bibliographic references and 1,200 3D-structures.
- A Wiki system is available to insert data into the database, providing a sharing and collaboration environment.
Takeaway
The researchers built a free online database to help scientists study proteins that can misfold and cause diseases like Alzheimer's.
Methodology
The database was created using MySQL and includes data from public databases like UniProtKB and MEDLINE, with a focus on protein sequence analysis.
Limitations
The database currently lacks comprehensive data on sequences that can form fibrils in vivo, especially in non-human organisms.
Digital Object Identifier (DOI)
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