Predict protein disulfide bonds in protein sequences.
Highlights:
It allows computational prediction of protein disulfide bonds for over one hundred microbial genomes, including both bacterial and archaeal species.
Sequences of unknown structure are mapped, when possible, to known homologous Protein Data Bank (PDB) structures, after which specific distance criteria are applied to predict disulfide bonds.
GDAP also accepts user-supplied protein sequences and subsequently queries the PDB sequence database for the best matches, scans for possible disulfide bonds and returns the results to the client.