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Bioinformatics. 2015 Oct 15;31(20):3395-7. doi: 10.1093/bioinformatics/btv375. Epub 2015 Jun 17.

AmyLoad: website dedicated to amyloidogenic protein fragments.

Author information

1
Department of Biomedical Engineering, Wroclaw University of Technology, Wroclaw, Poland.

Abstract

Analyses of amyloidogenic sequence fragments are essential in studies of neurodegenerative diseases. However, there is no one internet dataset that collects all the sequences that have been investigated for their amyloidogenicity. Therefore, we have created the AmyLoad website which collects the amyloidogenic sequences from all major sources. The website allows for filtration of the fragments and provides detailed information about each of them. Registered users can both personalize their work with the website and submit their own sequences into the database. To maintain database reliability, submitted sequences are reviewed before making them available to the public. Finally, we re-implemented several amyloidogenic sequence predictors, thus the AmyLoad website can be used as a sequence analysis tool. We encourage researchers working on amyloid proteins to contribute to our service.

AVAILABILITY AND IMPLEMENTATION:

The AmyLoad website is freely available at http://comprec-lin.iiar.pwr.edu.pl/amyload/.

CONTACT:

malgorzata.kotulska@pwr.edu.pl.

PMID:
26088800
DOI:
10.1093/bioinformatics/btv375
[Indexed for MEDLINE]

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