AMYPdb access in 2018

Anonymous access to the database and associated tools is limited. Registration is free and is a quick process using the [Signup] link from the "My AMYPdb" menu. Members have access to additional data and tools as MetAmyl, a software dedicated to the prediction of aggregation-prone segments in proteins, associated with other predictors and graphical methods. Members can also manage their own working sets of protein sequences and patterns. AMYPdb and server is restricted to academic and non-profit users. Commercial users must obtain a license. Please contact us for more information.

What are amyloid proteins?

Proteins or fragments of them that, in special circumstances, become misfolded and auto-aggregate into fibrils exhibiting a typical cross-beta structure. Amyloid proteins are involved in many but unrelated diseases such as systemic amyloidoses, Alzheimer's, Parkinson's, Huntington's, prion's diseases and medullary carcinoma of the thyroid or type 2 diabetes mellitus.

Our bioinformatic approach

In the case of amyloid proteins, bioinformatic methods are particularly advisable because insoluble aggregates formed by those proteins are resistant to many biochemical and structural conditions. Moreover, putative amyloid proteins exist in numerous organisms, from yeasts to humans, including fishes or reptiles. An exhaustive knowledge of amyloid proteins is therefore nearly impossible using only biological techniques.

The Amyloid Protein DataBase

AMYPdb is an online database dedicated to amyloid precursor families and to their amino acid sequence signatures.
This is a beta version of the new website for AMYPdb. The protein files are from UniProtKB 2015 release.

Expert contribution

We encourage experts to participate to the AMYPdb project. Members can obtain an expert account by sending an email to, or by using links available in the database. A wiki system allows contributors to add accurate biological data to protein and families description.


This site is a beta version of the new database. For your work, please cite our first paper : Pawlicki, S., Le Bechec, A. and Delamarche, C., (2008) AMYPdb: a database dedicated to amyloid precursor proteins, BMC bioinformatics, 9, 273-284.

S. Pawlicki, A. Le Bechec, A. Talvas and C. Bloquet participated in the developpement of the interface and programmed some parts of the pipeline for protein classification and aggregation.