Accelerates the prediction process for whole secretomes (the full set of secreted proteins by a given organism). VerSeDa stores information about proteins that are predicted to be secreted from cells through classical and non-classical mechanisms, for a wide range of vertebrate species and model organisms represented at the NCBI, UCSC and ENSEMBL sites. This database is designed to store secretome data with associated protein feature predictions from sequenced vertebrate genomes, helping this way with time-consuming bioinformatic assessments, which require multifactorial analyses in order to obtain reliable in-silico forecasts.

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VerSeDa classification

  • Animals
  • Fungi
    • Saccharomyces cerevisiae

VerSeDa specifications

Restrictions to use:
Database management system:
Data access:
Web user interface
Programming languages:
Javascript, Perl, PHP, R, Shell (Bash)
Community driven:
User data submission:
Not allowed

VerSeDa support



Link to literature

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