SUMOsp: a web server for sumoylation site prediction.
SUMOsp: a web server for sumoylation site prediction.
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DOI：
10.1093/nar/gkl207
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发表时间：
2006-07-01
影响因子：
14.9
通讯作者：
Yao, Xuebiao
中科院分区：
文献类型：
--
作者：
Xue, Yu;Zhou, Fengfeng;Fu, Chuanhai;Xu, Ying;Yao, Xuebiao
由于类小泛素化在细胞动力学和可塑性中起着重要作用，因此系统地研究类小泛素化蛋白质组是一个具有吸引力但又具有挑战性的研究课题。虽然已经进行了几个蛋白质组规模的分析，以描绘潜在的sumoylatable蛋白质，真正的sumoylation网站仍然有待确定。在此之前，我们进行了一个全基因组的SUMO底物在人类细胞核中使用假定的基序E-K-X-E和进化保守性的分析。然而，一个高度具体的预测在任何个体生物体中的类小泛素化位点的计算机预测仍然迫切需要指导实验设计。在这项工作中，我们提出了一个计算系统SUMOsp-SUMO化位点预测，基于手动策划的数据集，整合了两种方法的结果，GPS和MotifX，这两种方法最初是为磷酸化位点预测而设计的。SUMOsp在非常大的测试集上提供了至少与唯一可用的方法SUMOplot一样好的预测性能。我们期望SUMOsp的预测结果与实验验证相结合，将我们对SUMO化机制的理解推向一个新的水平。SUMOsp已在一个可免费访问的Web服务器上实现：。
Systematic dissection of the sumoylation proteome is emerging as an appealing but challenging research topic because of the significant roles sumoylation plays in cellular dynamics and plasticity. Although several proteome-scale analyzes have been performed to delineate potential sumoylatable proteins, the bona fide sumoylation sites still remain to be identified. Previously, we carried out a genome-wide analysis of the SUMO substrates in human nucleus using the putative motif ψ-K-X-E and evolutionary conservation. However, a highly specific predictor for in silico prediction of sumoylation sites in any individual organism is still urgently needed to guide experimental design. In this work, we present a computational system SUMOsp—SUMOylation Sites Prediction, based on a manually curated dataset, integrating the results of two methods, GPS and MotifX, which were originally designed for phosphorylation site prediction. SUMOsp offers at least as good prediction performance as the only available method, SUMOplot, on a very large test set. We expect that the prediction results of SUMOsp combined with experimental verifications will propel our understanding of sumoylation mechanisms to a new level. SUMOsp has been implemented on a freely accessible web server at: .
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影响因子：
46.9
作者：
Schwartz, D;Gygi, SP
通讯作者：
Gygi, SP
DOI：
10.1016/0005-2795(75)90109-9
发表时间：
1975-01-01
期刊：
BIOCHIMICA ET BIOPHYSICA ACTA
影响因子：
--
作者：
MATTHEWS, BW
通讯作者：
MATTHEWS, BW
影响因子：
4.8
作者：
Gocke, CB;Yu, HT;Kang, JS
通讯作者：
Kang, JS
影响因子：
7
作者：
Rosas-Acosta, G;Russell, WK;Wilson, VG
通讯作者：
Wilson, VG
影响因子：
12.4
作者：
Shinbo, Y;Niki, T;Ariga, H
通讯作者：
Ariga, H