A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence.

doi:doi.org/10.1016/j.mbs.2019.04.002

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	A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence.
	Wang X(王雪)
	2019-04-18
发表期刊	Mathematical Biosciences
ISSN	0025-5564
摘要	Protein-protein interactions (PPIs) play a crucial role in the life-sustaining activities of organisms. Although various methods for the prediction of PPIs have been developed in the past decades, their robustness and predic tion accuracy need to be improved. Therefore, it is necessary to develop an effective and accurate method to predict PPIs. Aiming at making sure that PPIs can be predicted effectively, in this paper, we propose a new sequence-based approach based on deep neural network (DNN) and conjoint triad auto covariance (CTAC) to improve the effectiveness of predicting PPIs. The coding method of CTAC combines the advantages of conjoint triad and auto covariance. Therefore, the CTAC can obtain more PPIs information from the amino acid sequence. The model of DNN-CTAC achieved an accuracy of 98.37%, recall of 99.41%, area under the curve (AUC) of 99.24% and loss of 22.7%, respectively, on human dataset. These results indicate that DNNCTAC can enhance the predictive power of PPIs and can significantly enhance the accuracy of the prediction. And, it has proved to be a useful complement to future proteomics research. The source codes and all datasets are available at https: //github.com/smalltalkman/hppi-tensorflow.
关键词	Deep neural networks Protein-protein interaction Conjoint triad auto covariance
学科门类	工学::计算机科学与技术（可授工学、理学学位）
DOI	doi.org/10.1016/j.mbs.2019.04.002
URL	查看原文
收录类别	SCI
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/126102
专题	中国科学院合肥物质科学研究院
作者单位	Institute of Technical Biology & Agriculture Engineering, Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Wang X. A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence.[J]. Mathematical Biosciences,2019.
APA	Wang X.(2019).A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence..Mathematical Biosciences.
MLA	Wang X."A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence.".Mathematical Biosciences (2019).