WALTZ-DB: a benchmark database of amyloidogenic hexapeptides

被引：62

作者：

Beerten, Jacinte ^{[1
,2
]}

Van Durme, Joost ^{[1
,2
]}

Gallardo, Rodrigo ^{[1
,2
]}

Capriotti, Emidio ^{[1
,2
,3
]}

Serpell, Louise ^{[4
]}

Rousseau, Frederic ^{[1
,2
]}

Schymkowitz, Joost ^{[1
,2
]}

机构：

[1] VIB Switch Lab, Leuven, Belgium

[2] Katholieke Univ Leuven, Dept Cellular & Mol Med, Leuven, Belgium

[3] Univ Alabama Birmingham, Dept Pathol, Div Informat, Birmingham, AL 35249 USA

[4] Univ Sussex, Sch Life Sci, Falmer BN1 9QG, E Sussex, England

来源：

BIOINFORMATICS | 2015年 / 31卷 / 10期

关键词：

AGGREGATION; PROTEINS; PREDICTION; PEPTIDES; SERVER;

D O I：

10.1093/bioinformatics/btv027

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：1698 / 1700

页数：3

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