Info
Peptide Server is a webpage application for peptide analysis, clustering and visualization according to several peptide features into a graph. The features used are related to the positional features of the peptide sequences as found in UniProt Database. There are the Sequence Annotation features along with the peptide characteristic of uniqueness in the Human Proteome and the peptide sequence similarity. Peptide Server has been developed and hosted by the Academy of Athens Foundation for Biomedical Research
For more information about the responsible research group, you can visit the Biomedical Informatics Group
Peptide Fragments, Peptide Groups & Visualisation
The goal of this web application is to analyse peptide fragments, produce a list of peptide sequences and their
characteristics, cluster the peptide sequences according to selected features and visualise any
common characteristics. There are four modes of searching available:
(i) search by a protein Accession
Number,
(ii) search by a position index in a protein sequence,
(iii) search by a list of peptide sequences
and
(iv) search by a list of molecular masses.
When (i) is selected then PepServe applies enzymatic digestion to the protein sequences according to a set of available enzymes and produces digested peptide fragments.
When (ii) is selected, PepServe retrieves peptide fragments and peptide characteristics around a specified position in a protein sequence.
In case search mode (iii) is selected, PepServe produces all peptide sequences entered by the user which are found in the Human Proteome and their described characteristics.
When (iv) is selected the server finds all peptide fragments in Human Proteome that have the specified molecular masses. Because this search may result in an extented list of peptides, there are some restrictive options available (e.x. protein molecular mass range, specific peptide pattern).
The application is also able to search across all other species found in Swiss-Prot Database querying whether a peptide sequence is found only once (unique).
Through this application, the researchers are able to find unique tags on sequence level. These unique tags are important in research related to protein identification or biomarker discovery and immune antigens. Furthermore researchers can view a graph where they can select their features of interest and view the peptide clusters that are formed.