Improving Self-interacting Proteins Prediction Accuracy Using Protein Evolutionary Information and Weighed-extreme Learning Machine

An Ji-Yong; Zhou Yong; Zhang Lei; Niu Qiang; Wang Da-Fu

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Improving Self-interacting Proteins Prediction Accuracy Using Protein Evolutionary Information and Weighed-extreme Learning Machine

机译：使用蛋白质进化信息和称重极限学习机改善自相互作用的蛋白质预测精度

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摘要

Background: Self Interacting Proteins (SIPs) play an essential role in various aspects of the structural and functional organization of the cell.

机译：背景：自相互作用蛋白（SIPS）在细胞结构和功能组织的各个方面发挥重要作用。

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来源
《Current Bioinformatics》 |2019年第2期|共8页
作者
An Ji-Yong; Zhou Yong; Zhang Lei; Niu Qiang; Wang Da-Fu;
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作者单位

China Univ Min &

Technol Sch Comp Sci &

Technol Xuzhou 21116 Jiangsu Peoples R China;

China Univ Min &

Technol Sch Comp Sci &

Technol Xuzhou 21116 Jiangsu Peoples R China;

China Univ Min &

Technol Sch Comp Sci &

Technol Xuzhou 21116 Jiangsu Peoples R China;

China Univ Min &

Technol Sch Comp Sci &

Technol Xuzhou 21116 Jiangsu Peoples R China;

China Univ Min &

Technol Sch Comp Sci &

Technol Xuzhou 21116 Jiangsu Peoples R China;

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原文格式 PDF
正文语种 eng
中图分类生物科学;
关键词
SIPs; weighed-extreme learning machine; PSSM; Autocorrelation (AC) descriptor; PCA; protein sequence;

机译：SIPS;称重 - 极端学习机;PSSM;自相关（AC）描述符;PCA;蛋白质序列;

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专利

1. Improving Self-interacting Proteins Prediction Accuracy Using Protein Evolutionary Information and Weighed-extreme Learning Machine [J] . An Ji-Yong, Zhou Yong, Zhang Lei, Current Bioinformatics . 2019,第2期

机译：使用蛋白质进化信息和称重极限学习机改善自相互作用的蛋白质预测精度
2. Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model [J] . An Ji-Yong, Meng Fan-Rong, You Zhu-Hong, Protein Science: A Publication of the Protein Society . 2016,第10期

机译：使用蛋白质进化信息和相关向量机模型提高蛋白质间相互作用的预测准确性
3. Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model [J] . An Ji-Yong, Meng Fan-Rong, You Zhu-Hong, Protein Science: A Publication of the Protein Society . 2016,第10期

机译：使用蛋白质进化信息和相关矢量机模型改善蛋白质 - 蛋白质相互作用预测准确性
4. Using Weighted Extreme Learning Machine Combined with Scale-Invariant Feature Transform to Predict Protein-Protein Interactions from Protein Evolutionary Information [C] . Jianqiang Li, Xiaofeng Shi, Zhuhong You, International conference on intelligent computing . 2018

机译：使用加权极限学习机结合尺度不变特征变换，根据蛋白质进化信息预测蛋白质与蛋白质的相互作用
5. Towards improving accuracy of protein content prediction for low homology sequences. [D] . Homaeian, Leila. 2006

机译：为了提高低同源序列的蛋白质含量预测的准确性。
6. Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information [O] . Ji-Yong An, Lei Zhang, Yong Zhou, 2017

机译：使用加权极限学习机预测蛋白质自我相互作用的蛋白质进化信息的计算方法
7. Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information [O] . Ji-Yong An, Lei Zhang, Yong Zhou, 2017

机译：使用称重 - 极端学习机预测蛋白质进化信息的计算方法

Improving Self-interacting Proteins Prediction Accuracy Using Protein Evolutionary Information and Weighed-extreme Learning Machine

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