ClanTox, a classifier of short animal toxins, predicts whether input sequences are toxin-like based on classification system training to known animal toxins. This dscovery prediction tool also outputs presence of signal peptide, the number of cysteine residues and the associated functional annotations.
The Disulfide Bonding Connectivity Pattern (DBCP) web server tool provides prediction of disulphide bonding connectivity patterns without the prior knowledge of the bonding states of cysteines. Useful in locating disulphide bridges and helping to solve protein folding.
DiANNA (DiAminoacid Neural Network Application) a tool that predicts cysteine states of a protein. It can predict whether a particular cysteine is reduced, is forming a disulfide bond, or is bound to a metallic ligand.
The Genomic Disulfide Analysis Program (GDAP) predicts disulfide bonds for a user-supplied protein sequence. GDAP also provides access to pre-computed predictions of disulfide bonds for over 100 microbial genomes.
MetalDetector identifies CYS and HIS involved in transition metal protein binding sites beginning with protein sequence alone. The geometry of the metal binding site is also predicted.