Trovato Antonio, Seno Flavio, Tosatto Silvio C E
Department of Physics G. Galilei, University of Padova, Padova, Italy.
Protein Eng Des Sel. 2007 Oct;20(10):521-3. doi: 10.1093/protein/gzm042. Epub 2007 Aug 24.
Many different proteins aggregate into amyloid fibrils characterized by cross-beta structure. beta-strands contributed by distinct protein molecules are generally found in a parallel in-register alignment. Here, we describe the web server for a novel algorithm, prediction of amyloid structure aggregation (PASTA), to predict the most aggregation-prone portions and the corresponding beta-strand inter-molecular pairing for a given input sequence. PASTA was previously shown to yield results in excellent agreement with available experimental observations, when tested on both natively unfolded and structured proteins. The web server and downloadable source code are freely accessible from the URL: http://protein.cribi.unipd.it/pasta/.
许多不同的蛋白质会聚集成具有交叉β结构特征的淀粉样纤维。由不同蛋白质分子贡献的β链通常以平行的同序排列方式存在。在此,我们描述了一种用于新算法的网络服务器,即淀粉样结构聚集预测(PASTA),用于预测给定输入序列中最易聚集的部分以及相应的β链分子间配对。当在天然未折叠和结构化蛋白质上进行测试时,PASTA先前已被证明产生的结果与现有实验观察结果高度一致。该网络服务器和可下载的源代码可从以下网址免费获取:http://protein.cribi.unipd.it/pasta/ 。