To help biologists to identify putative Type IV Effectors (T4Es) from complete bacterial
genomes, we developed S4TE 2.0, an online bioinformatics suite of tools.
S4TE 2.0 predicts and ranks candidate T4Es by using a combination of 14 sequence
characteristics, including homology to known effectors, homology to eukaryotic domains, presence
of subcellular localization signals or secretion signals, etc.
S4TE 2.0 generates a score and sorts the best T4Es candidates.