LSTM-PHV: prediction of human-virus protein–protein interactions by LSTM with word2vec
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Title
LSTM-PHV: prediction of human-virus protein–protein interactions by LSTM with word2vec
Authors
Keywords
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Journal
BRIEFINGS IN BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-05-26
DOI
10.1093/bib/bbab228
References
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Related references
Note: Only part of the references are listed.- Evolution of sequence-based bioinformatics tools for protein-protein interaction prediction
- (2020) Mst. Shamima Khatun et al. CURRENT GENOMICS
- Understanding Human-Virus Protein-Protein Interactions Using a Human Protein Complex-Based Analysis Framework
- (2019) Shiping Yang et al. mSystems
- PTPD: predicting therapeutic peptides by deep learning and word2vec
- (2019) Chuanyan Wu et al. BMC BIOINFORMATICS
- A generalized approach to predicting protein-protein interactions between virus and host
- (2018) Xiang Zhou et al. BMC GENOMICS
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- (2018) Md-Nafiz Hamid et al. BIOINFORMATICS
- Dimensionality reduction for visualizing single-cell data using UMAP
- (2018) Etienne Becht et al. NATURE BIOTECHNOLOGY
- Imbalanced multi-label learning for identifying antimicrobial peptides and their functional types
- (2016) Weizhong Lin et al. BIOINFORMATICS
- Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding
- (2016) Yu-An Huang et al. BMC BIOINFORMATICS
- UniProt: the universal protein knowledgebase
- (2016) NUCLEIC ACIDS RESEARCH
- HPIDB 2.0: a curated database for host–pathogen interactions
- (2016) Mais G. Ammari et al. Database-The Journal of Biological Databases and Curation
- iDNA-Methyl: Identifying DNA methylation sites via pseudo trinucleotide composition
- (2015) Zi Liu et al. ANALYTICAL BIOCHEMISTRY
- DeNovo: virus-host sequence-based protein–protein interaction prediction
- (2015) Fatma-Elzahraa Eid et al. BIOINFORMATICS
- Evolutionary profiles improve protein–protein interaction prediction from sequence
- (2015) Tobias Hamp et al. BIOINFORMATICS
- VirHostNet 2.0: surfing on the web of virus/host molecular interactions data
- (2014) Thibaut Guirimand et al. NUCLEIC ACIDS RESEARCH
- CD-HIT: accelerated for clustering the next-generation sequencing data
- (2012) Limin Fu et al. BIOINFORMATICS
- The IntAct molecular interaction database in 2012
- (2011) S. Kerrien et al. NUCLEIC ACIDS RESEARCH
- Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
- (2008) Yanzhi Guo et al. NUCLEIC ACIDS RESEARCH
- The Landscape of Human Proteins Interacting with Viruses and Other Pathogens
- (2008) Matthew D. Dyer et al. PLoS Pathogens
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