pLoc_bal-mHum: Predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset
pLoc_bal-mHum: Predict subcellular localization of human proteins by PseAAC and quasi-balancing training dataset
复制标题
pLoc_bal-mHum：通过 PseAAC 和准平衡训练数据集预测人类蛋白质的亚细胞定位
DOI：
10.1016/j.ygeno.2018.08.007
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发表时间：
2019-12-01
期刊：
影响因子：
4.4
通讯作者：
Xiao, Xuan
中科院分区：
文献类型：
--
作者：
Chou, Kuo-Chen;Cheng, Xiang;Xiao, Xuan
一个细胞含有许多蛋白质分子。分子细胞生物学的基本目标之一是确定它们的亚细胞位置，因为这些信息对基础研究和药物开发都非常重要。在本文中，我们报告了一种新的和非常强大的预测称为“pLoc_bal-magnesium”的预测人类蛋白质的亚细胞定位的基础上，他们的序列信息单独。交叉验证测试完全相同的实验证实的数据集表明，新的预测是显着上级现有的国家的最先进的预测在确定人类蛋白质的亚细胞定位。为了最大限度地方便大多数实验科学家，一个用户友好的网络服务器的新的预测器已经建立在http：//www.jci-bioinfo.cn/pLoc_bal-mHum/，用户可以很容易地得到他们想要的结果，而不需要通过详细的数学。
A cell contains numerous protein molecules. One of the fundamental goals in molecular cell biology is to determine their subcellular locations since this information is extremely important to both basic research and drug development. In this paper, we report a novel and very powerful predictor called "pLoc_bal-mHum" for predicing the subcellular localization of human proteins based on their sequence information alone. Cross-validation tests on exactly the same experiment-confirmed dataset have indicated that the new predictor is remarkably superior to the existing state-of-the-art predictor in identifying the subcellular localization of human proteins. To maximize the convenience for the majority of experimental scientists, a user-friendly web-server for the new predictor has been established at http://www.jci-bioinfo.cn/pLoc_bal-mHum/, by which users can easily get their desired results without the need to go through the detailed mathematics.