PSOPIA (Prediction Server Of Protein-protein InterActions) is an AODE for predicting protein-protein interactions using three seqeucne based features; (I) sequence similarities to a known interacting protein pair, (II) statistical propensities of domain pairs observed in interacting proteins and (III) a sum of edge weights along the shortest path between homologous proteins in a PPI network.
AtSubP (for Arabidopsis subcellular localization predictor) is an integrative support vector machine-based localization predictor that is based on the combinatorial presence of diverse protein features, such as its amino acid composition, sequence-order effects, terminal information, Position-Specific Scoring Matrix, and similarity search-based Position-Specific Iterated-Basic Local Alignment Search Tool information.
The FunFOLD software is freely available as both a standalone package and a prediction server, providing competitive ligand binding site residue predictions for expert and non-expert users alike. The software provides a new fully automated approach for structure based function prediction using 3D models of proteins.
PFP (Protein Function Prediction) is a sequence similarity-based protein function prediction server designed to predict GO annotations for a query sequence beyond what can be found by conventional database search such as BLAST.It takes into account weakly similar sequences as well as GO term associations observed in known annotations.
ESG (Extended Similarity Group) is a sequence similarity-based protein function prediction server. It employ PSI-BLAST iteratively and essentially selects GO term annotations that appear consistently in the searches.
The iLoops Server uses the loop classification as defined in ArchDB and/or the SCOP classification of domains to predict whether or not a pair of proteins interact.