Department of Biomedical Engineering, Wroclaw University of Technology, Wroclaw, Poland.
Bioinformatics. 2015 Oct 15;31(20):3395-7. doi: 10.1093/bioinformatics/btv375. Epub 2015 Jun 17.
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.
The AmyLoad website is freely available at http://comprec-lin.iiar.pwr.edu.pl/amyload/.
在神经退行性疾病的研究中,对淀粉样蛋白序列片段的分析是必不可少的。然而,没有一个互联网数据集可以收集所有已经研究过其淀粉样蛋白特性的序列。因此,我们创建了 AmyLoad 网站,该网站从所有主要来源收集淀粉样蛋白序列。该网站允许对片段进行过滤,并提供有关每个片段的详细信息。注册用户可以个性化他们的工作,并将自己的序列提交到数据库中。为了保持数据库的可靠性,提交的序列在向公众提供之前会进行审查。最后,我们重新实现了几个淀粉样蛋白序列预测器,因此 AmyLoad 网站可用作序列分析工具。我们鼓励研究淀粉样蛋白的研究人员为我们的服务做出贡献。
AmyLoad 网站可免费在 http://comprec-lin.iiar.pwr.edu.pl/amyload/ 获得。