A novel conjoint triad auto covariance (CTAC) coding method for predicting protein-protein interaction based on amino acid sequence.
文献类型：期刊论文
| 作者 | Wang X(王雪)
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| 刊名 | Mathematical Biosciences
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| 出版日期 | 2019-04-18 |
| 关键词 | Deep neural networks Protein-protein interaction Conjoint triad auto covariance |
| ISSN号 | 0025-5564 |
| DOI | doi.org/10.1016/j.mbs.2019.04.002 |
| 英文摘要 | 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.
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| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [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). |
入库方式： OAI收割
来源：合肥物质科学研究院
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