26 - 02 - 2017
PrionScan Menu

PrionScan, an online database of predicted prion domains in complete proteomes


PrionScan is a database of prion domains predicted for all publicly available proteomes.
Based on amino acid propensities previously observed in prion domains experimentally tested in yeast by Alberti et al., 2009, we have built a probabilistic model, benchmarked to handle large sequence databases, and used it to predict prion-like sequence stretches in all the proteomes available annotated in UniprotKB (Angarica et al., 2013).

This site offers two functionalities:

  1. SEARCH the Database. You can make simple searches to find out whether a specific protein contains putative prion domains (using UniprotKB identifier or accession number) or to retrieve all the predicted prions in a given organism. More complex searches combining information from multiple columns can retrieve, for example, all the putative prions from a given organism that exert a specific function or resides in a given cellular component (as described in Gene Ontology). The predictions included in our database correspond to the following UniprotKB database update: UniProtKB/Swiss-Prot Release 2017_01 of 18-Jan-2017 UniProtKB/TrEMBL Release 2017_01 of 18-Jan-2017
  2. RUN a prediction. Users can process their own sequences (e.g. synthetic sequences, mutants, yet-to-annotate proteins) to make predictions of prion domains according to our model. The Sequence Analysis functionality allows users to paste sequences in FASTA format or to upload files with a large number of sequences (in FASTA format, flat files or gzip or bzip2 compressed files). The cutoff value for prediction can be modified.

Submission form

Examples: NEW1_YEAST, bacteria, Plasmodium falciparum, DNA binding, nucleus
Examples: bacteria, Plasmodium falciparum, DNA binding, nucleus
Examples: bacteria, Plasmodium falciparum, DNA binding, nucleus
Sequences of less than 60 residues will not be scanned. Read the help page for more information.
The text must be writen in fasta format.
The file must be writen in fasta format.
Click here to download a sample file
This field is required to send the results.



If you find our server useful to your research please consider also citing the following articles:

  • Angarica, V.E., Angulo, A., Giner, A., Losilla, G., Ventura, S., and Sancho, J. (2014). PrionScan: an online database of predicted prion domains in complete proteomes. BMC Genomics. 15: 102. [PUBMED] [PDF]
  • Angarica, V.E., Ventura, S. and Sancho, J. (2013). Discovering putative prion sequences in complete proteomes using probabilistic representations of Q/N-rich domains. BMC Genomics. 14: 316. [PUBMED] [PDF]

PrionScan © 2013 - 2017. Vladimir Espinosa Angarica, Alfonso Angulo, Arturo Giner, Guillermo Losilla-Anadón, Salvador Ventura, and Javier Sancho
This site was developed by Alfonso Angulo, This email address is being protected from spambots. You need JavaScript enabled to view it.