![]() (2018) Corroboration of a major role for herpes simplex virus type 1 in Alzheimer’s disease. (2016) HVint: a strategy for identifying novel protein-protein interactions in herpes simplex virus type 1. (2015) Global and regional estimates of prevalent and incident herpes simplex virus type 1 infections in 2012. (2019) Recurrent herpes simplex virus-1 infection induces hallmarks of neurodegeneration and cognitive deficits in mice. E., Limongi, D., Napoletani, G., Protto, V., Coluccio, P., Celestino, I., et al. Sci., 57, 75–82ĭe Chiara, G., Piacentini, R., Fabiani, M., Mastrodonato, A., Marcocci, M. (2010) Medical application of herpes simplex virus. (2014) HSV-1 and Alzheimer’s disease: more than a hypothesis. Piacentini, R., De Chiara, G., Li Puma, D. (2010) Herpes simplex type I (HSV-1) infection of the nervous system: is an immune response a good thing? J. To make the predicted PPI network and the datasets freely accessible to the scientific community, a user-friendly database browser was released at. The current work can provide testable hypotheses to assist in the mechanistic understanding of the human-HSV-1 relationship and the anti-HSV-1 pharmaceutical target discovery. In particular, the predicted interactions between HSV-1 proteins and Alzheimer’s-disease-related proteins were intensively investigated. Considering that HSV-1 infections are implicated in encephalitis and neurodegenerative diseases, we focused on exploring the biological significance of the brain-specific human-HSV-1 PPIs. ![]() Functional and network analyses of the HSV-1 targeting proteins in the context of human interactome can recapitulate the known knowledge regarding the HSV-1 replication cycle, supporting the overall reliability of the predicted PPI network. ![]() ResultsĪs a result, a comprehensive high-confidence PPI network between human and HSV-1 was established, covering 10,432 interactions between 4,546 human proteins and 72 HSV-1 proteins. For each human-HSV-1 protein pair, four popular PPI inference methods, including interolog mapping, the domain-domain interaction-based method, the domain-motif interaction-based method, and the machine learning-based method, were optimally implemented to generate four interaction probability scores, which were further integrated into a final probability score. To complement the experimental identification of human-HSV-1 PPIs, an integrative strategy to predict proteome-wide PPIs between human and HSV-1 was developed. To decipher the complicated human-HSV-1 interactions, a comprehensive protein-protein interaction (PPI) network between human and HSV-1 is highly demanded. Herpes simplex virus type 1 (HSV-1) is a ubiquitous infectious pathogen that widely affects human health.
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