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A neural network learning approach for improving the prediction of residue depth based on sequence-derived features 期刊论文
RSC ADVANCES, 2016, 卷号: 6, 期号: 72, 页码: 67729-67738
作者:  Yan, Renxiang;  Wang, Xiaofeng;  Xu, Weiming;  Cai, Weiwen;  Lin, Juan
收藏  |  浏览/下载:20/0  |  提交时间:2017/03/21
Identification of Catalytic Residues Using a Novel Feature that Integrates the Microenvironment and Geometrical Location Properties of Residues 期刊论文
PLOS ONE, 2012, 卷号: 7, 期号: 7, 页码: e41370
作者:  Han, Lei;  Zhang, Yong-Jun;  Song, Jiangning;  Liu, Ming S.;  Zhang, Ziding
收藏  |  浏览/下载:19/0  |  提交时间:2012/08/29


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