» User query

Using this interface, users can access to our database and obtain the values of each prediction tools for the proteins of interest. Queries are performed by (i) selecting the organism of interest, (ii) selecting the ID type that will be queried, or pasting/uploading the identifiers and (iii) selecting the tools for their predictions and corresponding thresholds. Lastly, users can select the format in which the results are retrieved.

* Mandatory information

» Input IDs

* Please, select the organism





* Please, paste your ID List here


Or upload your file here:


» Full search

All methods positive (extracellular) help

Verseda’s Full search pipeline is organized in three main stages:

  • The first stage has been designed to carry out secreted protein features prediction, precisely, TargetP identifies the location of the N-terminal Signal Peptide (SP), SignalP recognizes the presence and location of SP cleavage sites and PredGPI checks for the existence of glycosylphosphatidylinositol (GPI) membrane anchoring sites.

  • Sequences that enclose any of the features tested in the first phase are taken into next step, to be inspected for the presence of transmembrane domains (TMD) by TMHMM, where proteins with a number of TMD higher than 1 are discarded.

  • The third filter takes those candidates selected in the previous process, and classifies them based on their subcellular location by WoLF-PSORT. This step is used for refined predictions, where successful candidates are those predicted as extracellular with a cut-off score over 14.



All methods positive and curated (extracellular) help
  • The first stage has been designed to carry out secreted protein features prediction, precisely, TargetP identifies the location of the N-terminal Signal Peptide (SP), SignalP recognizes the presence and location of SP cleavage sites and PredGPI checks for the existence of glycosylphosphatidylinositol (GPI) membrane anchoring sites.

  • Sequences that enclose any of the features tested in the first phase are taken into next step, to be inspected for the presence of transmembrane domains (TMD) by TMHMM, where proteins with a number of TMD higher than 1 are discarded.

  • The third filter takes those candidates selected in the previous process, and classifies them based on their subcellular location by WoLF-PSORT. This step is used for refined predictions, where successful candidates are those predicted as extracellular with a cut-off score over 14.

  • Additionally, for a prediction to be considered as curated, it must be classified as secreted in Uniprot database.


» Classical secretion

Filter your query using SignalP: help

Filter your query using TargetP: help

Filter your query using PredGPI: help

Filter your query using TMHMM: help

Filter your query using WoLF PSORT: help

» Non classical secretion

Filter your query using SecretomeP: help

» Optional analysis

Perform structural domain screening help

» Results format

ID List FASTA file Both

» Submission

Optional: insert an e-mail to receive your results link after completion.