Effective is a database of predicted bacterial secreted proteins, implementing two complementary prediction strategies for protein secretion: the identification of eukaryotic-like protein domains and the recognition of signal peptides in amino acid sequences. The Effective web portal provides user-friendly tools for browsing and retrieving comprehensive precalculated predictions for whole bacterial genomes as well as for the interactive prediction of effectors in user-provided protein sequences.
LOCtarget is a tool for predicting, and a database of pre-computed predictions for, sub-cellular localization of eukaryotic and prokaryotic proteins. Several methods are employed to make the predictions, including text analysis of SWISS-PROT keywords, nuclear localization signals, and the use of neural networks.
MemPype is a Python-based pipeline that integrates several tools for the prediction of topology and subcellular localization of Eukaryotic membrane proteins.
PONGO allows users to compare topology predictions of membrane proteins made by four different predictors (MEMSAT, TMHMM, ENSEMBLE, and PRODIV). It also displays a signal peptide prediction determined with SPEP.
PrediSi (Prediction of Signal Peptides) takes one or more amino acid sequences as input and predicts the likelihood that they are signal peptides as well as their cleavage positions. It can be used to analyse whole proteome datasets.
PROTEUS2 is a web server for comprehensive protein structure prediction and structure-based annotation. The analysis pipeline includes signal identification, trans-membrane helix prediction, trans-membrane beta-strand prediction, secondary structure prediction and homology modeling for user inputs of single or multiple sequences.
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.