T3SEpp

An Integrated Prediction Pipeline for Bacterial Type III Secreted Effectors.

Please input protein sequences in FASTA format:

Protein sequences should be in FASTA format; for each protein, the name should neither be separated by space nor be with illegal characters such as "|".

OR Upload a FASTA file:

Option1: promoter sequences

Sequences should be in FASTA format with a < 2001-nt length for each promoter; the name should exactly be consistent with that of protein sequence; the name should neither be separated by space nor be with illegal characters such as "|" .

Please select the checkbox and then input promoter sequences in FASTA format.

Option2: PSORTb

PSORTb is available in "https://www.psort.org/psortb/index.html"; using the Tab-delimited (Terse Format) Output with 3 columns. Note that the protein name should exactly be consistent with that of protein sequence; the name should neither be separated by space nor be with illegal characters such as "|".

Please input the result document of PSORTb.

Option3: TMHMM

TMHMM is available in "https://services.healthtech.dtu.dk/service.php?TMHMM-2.0"; using the "One line per protein" output format. Note that the protein name should exactly be consistent with that of protein sequence; the name should neither be separated by space nor be with illegal characters such as "|".

Please input the result document of TMHMM.

Option4: SignalP

SignalP is available in "https://services.healthtech.dtu.dk/service.php?SignalP-4.1"; using the "short output format". Note that the protein name should exactly be consistent with that of protein sequence; the name should neither be separated by space nor be with illegal characters such as "|".

Please input the result document of SignalP.

If you want to be notified after the program is completed, please：

References

Hui X, Chen Z, Lin M, Zhang J, Hu Y, Zeng Y, Cheng X, Ou-Yang L, Sun MA, White AP, Wang Y. T3SEpp: an Integrated Prediction Pipeline for Bacterial Type III Secreted Effectors. mSystems. 2020 Aug 4;5(4):e00288-20. PMID: 32753503.