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Machine Learning Approaches for Predicting Virus-Human Protein-Protein Interactions: An Evaluation of Retroviral Interaction Networks

2024-11-15

Abstract excerpt

Virus-human protein-protein interactions (VHPPI) are key to understanding how viruses manipulate host cellular functions. This study constructed a retroviral-human PPI network by integrating multiple public databases, resulting in 1,387 interactions between 29 retroviral and 1,026 human genes. Using minimal sequence similarity, we generated a pseudo-negative dataset for model reliability. Five machine learning mod...

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Literature Corpus work
85b64936-20a0-5bf2-a224-e05714e6ff21
DOI
10.1101/2024.11.13.623326
Open publication

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Machine Learning Approaches for Predicting Virus-Human Protein-Protein Interactions: An Evaluation of Retroviral Interaction NetworksDOI 10.1101/2024.11.13.623326
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