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References from Deep-HPI-pred: An R-Shiny applet for network-based classification and prediction of Host-Pathogen protein-protein interactions. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.1159/000347104 · External reference
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Unresolved reference
2022 · External reference
Bacterial Infection and Hypersensitive Response Assays in Arabidopsis-Pseudomonas syringae Pathosystem
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The human-bacterial pathogen protein interaction networks of Bacillus anthracis, Francisella tularensis, and Yersinia pestis
2010 · External reference
Current status and future perspectives of computational studies on human–virus protein–protein interactions
10.1093/bib/bbab029 · 2021 · External reference
RNA-seq for deciphering host–microbe interactions
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Shotgun proteomics as a powerful tool for the study of the proteomes of plants, their pathogens, and plant–pathogen interactions
10.3390/proteomes10010005 · 2022 · External reference
10.1016/j.csbj.2022.08.001 · 2022 · Admitted local publication
deepHPI: a comprehensive deep learning platform for accurate prediction and visualization of host–pathogen protein–protein interactions
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10.1093/bioinformatics/btaa862
10.1093/bioinformatics/btaa862 · External reference
10.3390/ijms221910897
10.3390/ijms221910897 · External reference
A domain-based approach to predict protein-protein interactions
10.1186/1471-2105-8-199 · 2007 · External reference
Systematic evaluation of machine learning methods for identifying human–pathogen protein–protein interactions
10.1093/bib/bbaa068 · 2021 · External reference
prediction and ranking of human protein-protein interactions
10.1186/1471-2105-8-239 · 2007 · External reference
Protein‐protein interaction networks as miners of biological discovery
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Functional topology in a network of protein interactions
10.1093/bioinformatics/btg415 · 2004 · External reference
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Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction
10.1093/bioinformatics/btab533 · 2021 · External reference
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The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
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Artificial Intelligence-Based Approaches for Detection and Classification of Different Classes of Malaria Parasites Using Microscopic Images: A Systematic Review
2023 · External reference
A deep-learning framework for multi-level peptide–protein interaction prediction
10.1038/s41467-021-25772-4 · 2021 · External reference
Eigenvector centrality for characterization of protein allosteric pathways
10.1073/pnas.1810452115 · 2018 · External reference
Comprehensive host-pathogen protein-protein interaction network analysis
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Discovering disease-associated genes in weighted protein–protein interaction networks
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Transfer learning via multi-scale convolutional neural layers for human-virus protein-protein interaction prediction
10.1093/bioinformatics/btab533 · 2021 · External reference
10.1093/bioinformatics/btab147
10.1093/bioinformatics/btab147 · External reference
Prediction of interactions between viral and host proteins using supervised machine learning methods
10.1371/journal.pone.0112034 · 2014 · External reference