AIMC Topic: Host-Pathogen Interactions
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Human protein interaction networks of ancestral and variant SARS-CoV-2 in organ-specific cells and bodily fluids.
Nature communications
Jul 1, 2025
Understanding SARS-CoV-2 human protein-protein interactions (PPIs) and the host response to infection is essential for developing effective COVID-19 antivirals. However, how the ancestral virus and its variants remodel virus-host protein assemblies i...
Predicting viral host codon fitness and path shifting through tree-based learning on codon usage biases and genomic characteristics.
Scientific reports
Apr 10, 2025
Viral codon fitness (VCF) of the host and the VCF shifting has seldom been studied under quantitative measurements, although they could be concepts vital to understand pathogen epidemiology. This study demonstrates that the relative synonymous codon ...
Characterization of Enterocytozoon hepatopenaei infection stages in shrimp using machine learning and gene network analysis.
Journal of invertebrate pathology
Apr 3, 2025
Enterocytozoon hepatopenaei (EHP), causing hepatopancreatic microsporidiosis (HPM), significantly impacts Litopenaeus vannamei, leading to economic losses. Using bioinformatics and machine learning, this study characterized EHP infection stages and h...
New and revised gene ontology biological process terms describe multiorganism interactions critical for understanding microbial pathogenesis and sequences of concern.
Journal of biomedical semantics
Mar 21, 2025
BACKGROUND: There is a new framework from the United States government for screening synthetic nucleic acids. Beginning in October of 2026, it calls for the screening of sequences 50 nucleotides or greater in length that are known to contribute to pa...
Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach.
Scientific reports
Jan 23, 2025
Monkeypox virus (MPXV), a zoonotic pathogen, re-emerged in 2022 with the Clade IIb variant, raising global health concerns due to its unprecedented spread in non-endemic regions. Recent studies have shown that Clade IIb (2022 MPXV) is marked by uniqu...
Supervised learning approaches for predicting Ebola-Human Protein-Protein interactions.
Gene
Jan 17, 2025
The goal of this research work is to predict protein-protein interactions (PPIs) between the Ebola virus and the host who is at risk of infection. Since there are very limited databases available on the Ebola virus; we have prepared a comprehensive d...
Virus-host interactions predictor (VHIP): Machine learning approach to resolve microbial virus-host interaction networks.
PLoS computational biology
Sep 18, 2024
Viruses of microbes are ubiquitous biological entities that reprogram their hosts' metabolisms during infection in order to produce viral progeny, impacting the ecology and evolution of microbiomes with broad implications for human and environmental ...
MHIPM: Accurate Prediction of Microbe-Host Interactions Using Multiview Features from a Heterogeneous Microbial Network.
Journal of chemical information and modeling
Sep 17, 2024
Current studies have demonstrated that microbe-host interactions (MHIs) play important roles in human public health. Therefore, identifying the interactions between microbes and hosts is beneficial to understanding the role of the microbiome and thei...
Editorial: Exploring genetic characteristics and molecular mechanisms of host adaptation of viruses with artificial intelligence (AI) or (and) biological (BIO) approaches.
Frontiers in cellular and infection microbiology
Aug 26, 2024
Significance of Artificial Intelligence in the Study of Virus-Host Cell Interactions.
Biomolecules
Jul 26, 2024
A highly critical event in a virus's life cycle is successfully entering a given host. This process begins when a viral glycoprotein interacts with a target cell receptor, which provides the molecular basis for target virus-host cell interactions for...
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