WALTZ-DB: a benchmark database of amyloidogenic hexapeptides | Zendy

Jacinte Beerten | Zendy; Joost Van Durme | Zendy; Rodrigo Gallardo | Zendy; Emidio Capriotti | Zendy; Louise C. Serpell | Zendy; Frédéric Rousseau | Zendy; Joost Schymkowitz | Zendy

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WALTZ-DB: a benchmark database of amyloidogenic hexapeptides

Author(s) -

Jacinte Beerten,

Joost Van Durme,

Rodrigo Gallardo,

Emidio Capriotti,

Louise C. Serpell,

Frédéric Rousseau,

Joost Schymkowitz

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv027

Subject(s) - benchmark (surveying) , computer science , set (abstract data type) , artificial intelligence , waltz , database , chemistry , programming language , art , cartography , art history , geography

Accurate prediction of amyloid-forming amino acid sequences remains an important challenge. We here present an online database that provides open access to the largest set of experimentally characterized amyloid forming hexapeptides. To this end, we expanded our previous set of 280 hexapeptides used to develop the Waltz algorithm with 89 peptides from literature review and by systematic experimental characterisation of the aggregation of 720 hexapeptides by transmission electron microscopy, dye binding and Fourier transform infrared spectroscopy. This brings the total number of experimentally characterized hexapeptides in the WALTZ-DB database to 1089, of which 244 are annotated as positive for amyloid formation.

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