SCLpredT is an enhanced version of SCLpred (Subcellular Localisation), in that: it incorporates homology information to proteins of known localization ; it is trained on a larger dataset; in has one more output class (“organelle”).
Geptop is a webserver, which first provides a platform to detect essential gene sets over bacterial species, by comparing orthology and phylogeny of query protein sets with essential gene datasets determined experimentally (from DEG database).
PepSite can predict binding of a given peptide onto a protein structure, enabling users to better understand the details of the interaction of interest.
Given a set of protein sequences (in fasta format), InterPreTS will use BLAST to find homologues of known structure for all pairs (i.e. templates that can model each pair of sequences based on homology) and then evaluate the suitability of those templates for modelling the interaction
CABS-fold is a server that provides tools for protein structure prediction from sequence only (de novo modeling) and also using alternative templates (consensus modeling).
RNAstructure is a complete package for RNA and DNA secondary structure prediction and analysis. It includes algorithms for secondary structure prediction, including facility to predict base pairing probabilities. It also can be used to predict bimolecular structures and can predict the equilibrium binding affinity of an oligonucleotide to a structured RNA target. This is useful for siRNA design. It can also predict secondary structures common to two, unaligned sequences, which is much more accurate than single sequence secondary structure prediction. Finally, RNAstructure can take a number of different types of experiment mapping data to constrain or restrain structure prediction. These include chemical mapping, enzymatic mapping, NMR, and SHAPE data.