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Sequence-based prediction of protein protein interaction using a deep-learning algorithm
Sun, Tanlin ; Zhou, Bo ; Lai, Luhua ; Pei, Jianfeng
刊名BMC BIOINFORMATICS
2017
关键词Deep learning Protein-protein interaction SUPPORT VECTOR MACHINE NEURAL-NETWORKS SACCHAROMYCES-CEREVISIAE SECONDARY STRUCTURE BINDING HYPERPLANES FEATURES
DOI10.1186/s12859-017-1700-2
英文摘要Background: Protein-protein interactions (PPIs) are critical for many biological processes. It is therefore important to develop accurate high-throughput methods for identifying PPI to better understand protein function, disease occurrence, and therapy design. Though various computational methods for predicting PPI have been developed, their robustness for prediction with external datasets is unknown. Deep-learning algorithms have achieved successful results in diverse areas, but their effectiveness for PPI prediction has not been tested. Results: We used a stacked autoencoder, a type of deep-learning algorithm, to study the sequence-based PPI prediction. The best model achieved an average accuracy of 97.19% with 10-fold cross-validation. The prediction accuracies for various external datasets ranged from 87.99% to 99.21%, which are superior to those achieved with previous methods. Conclusions: To our knowledge, this research is the first to apply a deep-learning algorithm to sequence-based PPI prediction, and the results demonstrate its potential in this field.; National Natural Science Foundation of China [21673010, 81273436]; Ministry of Science and Technology of China [2016YFA0502303]; SCI(E); ARTICLE; 18
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/473331]  
专题化学与分子工程学院
生命科学学院
推荐引用方式
GB/T 7714
Sun, Tanlin,Zhou, Bo,Lai, Luhua,et al. Sequence-based prediction of protein protein interaction using a deep-learning algorithm[J]. BMC BIOINFORMATICS,2017.
APA Sun, Tanlin,Zhou, Bo,Lai, Luhua,&Pei, Jianfeng.(2017).Sequence-based prediction of protein protein interaction using a deep-learning algorithm.BMC BIOINFORMATICS.
MLA Sun, Tanlin,et al."Sequence-based prediction of protein protein interaction using a deep-learning algorithm".BMC BIOINFORMATICS (2017).
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