» Full organism search

Using this interface, users can access to our database and perform a complete search across the full proteome of a given organism. The query is achieved by selecting the organism of interest and the prediction tools to use in the search. After that, one can determine the cut-off values to apply to each tool and optionally perform a “Functional motif analysis” before the data submission. Finally, users can select the format in which the results are retrieved..

* Mandatory information

» Search parameters

* Please, select the organism


» 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.