The beta-barrel Outer Membrane protein Predictor (BOMP) takes one or more fasta-formatted polypeptide sequences from Gram-negative bacteria as input and predicts whether or not they are beta-barrel integral outer membrane proteins.
Gibbs Motif Sampler allows you to identify motifs, conserved regions, in DNA or protein sequences. This tool can be applied for the detection of transcription factor binding sites (TFBS).
HHomp is a web server for prediction and classification of outer membrane proteins (OMPs). Beginning with sequence similarity of a protein to known OMPs, HHomp builds a hidden markov model (HMM) and compares the input sequence to a database of OMPs by pairwise HMM comparison. The OMP database contains profile HMMs for over 20,000 putative OMP sequences.
OMPdb is a database of integral beta-barrel outer membrane proteins from Gram-negative bacteria, classified in functional families. OMPdb entries contain cross-references to other databases, references to the literature and annotation for sequence features (TM segments and signal peptides). The user can submit text searches and run BLAST queries against protein sequences or domain searches against the collection of profile HMMs that represent each family's domain organization.
PRED-TMBB is a tool that takes a Gram-negative bacteria protein sequence as input and predicts the transmembrane strands and the probability of it being an outer membrane beta-barrel protein. The user has a choice of three different decoding methods.
PSORT.org provides links to the PSORT family of web-based programs for subcellular localization prediction, including PSORTb and WoLF PSORT, well as other datasets and resources relevant to localization prediction.
transFold predicts the super-secondary structure of transmembrane beta-barrel (TMB) proteins including side-chain orientation and topology of transmembrane segments.