meta-PPISP: a meta web server for protein-protein interaction site prediction
meta-PPISP: a meta web server for protein-protein interaction site prediction
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DOI：
10.1093/bioinformatics/btm434
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发表时间：
2007-12-15
期刊：
影响因子：
5.8
通讯作者：
Zhou, Huan-Xiang
中科院分区：
文献类型：
--
作者：
Qin, Sanbo;Zhou, Huan-Xiang
已经开发了许多互补的方法来预测蛋白质-蛋白质相互作用位点。我们试图通过结合来自不同预测器的结果来提高预测的鲁棒性和准确性，并在此报告了一个Meta Web服务器meta-PPISP，它构建在三个单独的Web服务器上：cons-PPISP（http：//pipe.scs.fsu.edu/ppisp.html），Promate（http：//bioportal. ac.il/promate）和PINUP（http：//sparks.信息学. iupui.edu/PINUP/).使用三个服务器的原始分数作为输入的线性回归方法在一组35个非同源蛋白质上进行训练。交叉验证表明，元PPISP优于所有三个单独的服务器。在覆盖率与单个方法相同的情况下，元PPISP的准确性高出4.8至18.2个百分点。在卡普里和其他目标上也看到了类似的精度提高。
A number of complementary methods have been developed for predicting protein-protein interaction sites. We sought to increase prediction robustness and accuracy by combining results from different predictors, and report here a meta web server, meta-PPISP, that is built on three individual web servers: cons-PPISP (http://pipe.scs.fsu.edu/ppisp.html), Promate (http://bioportal. weizmann.ac.il/promate), and PINUP (http://sparks. informatics. iupui.edu/PINUP/). A linear regression method, using the raw scores of the three servers as input, was trained on a set of 35 nonhomologous proteins. Cross validation showed that meta-PPISP outperforms all the three individual servers. At coverages identical to those of the individual methods, the accuracy of meta-PPISP is higher by 4.8 to 18.2 percentage points. Similar improvements in accuracy are also seen on CAPRI and other targets.