Caspases (for cysteine aspartate proteases)
belong to a family of cysteine proteases that serve as important
effectors of apoptosis and inflammation. These proteases are unique
among mammalian proteases as they cleave substrates after an aspartate
residue at sites bearing signature tetrapeptide motifs. A decade
of research on caspases has brought about a wealth of data as well
as prompting recent investigation into their role as therapeutic
targets in diseases such as cancer and Alzheimer’s
disease.
We
have developed Casbase- an online relational database
containing an array of biological data on caspases and their substrates.
We have compiled two distinct sets of entries for caspases and their
substrates from publicly available databases and published literature.
Entries are annotated with links to other databases (e.g. Uniprot,
PubMed, Interpro, PDB) as well as proprietary data such as substrate
cleavage sites and cleavage consequences.
(Hengartner, 2000)
Casbase contains data for both caspases and their substrates. Entries
can be queried using keywords, accession numbers and sequence similarity
(BLAST). Substrates entries can also be browsed under their respective
functional categories.
Query database for caspases
Query database for caspases substrates
The entire set of caspases and substrates entries are available
as Fasta-formatted sequence files for download.
Some statistics on the database are available
here.
Please read this help section regarding the use of
the database.
As new caspase substrates are being discovered,
we intend to extract the relevant data from the primary databases
and published literature periodically (every 6 months) and deposit
them into Casbase. A computational tool for predicting caspase substrate
cleavage sites and a Java-based module for visualizing substrate
cleavage sites are currently in the development pipeline.
This work was funded by the Department of Biochemistry,
Yong Loo Lin School of Medicine, National University of Singapore.
For further enquries, please contact lawrence@bic.nus.edu.sg
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