Graph Attention Networks-Based Prediction of Micro RNA – mRNA Interactions in Oral Herpes Virus
DOI:
https://doi.org/10.48047/max75669Keywords:
graph attention networks, micro RNA, Mrna, herpes virusAbstract
Introduction: MicroRNAs regulate gene expression by binding to mRNAs, which results in mRNA degradation or translational repression. Understanding these interactions is crucial for elucidating disease mechanisms and developing therapeutic strategies. Computational methods predict these interactions, including machine learning, statistical analysis, and biological network modeling. However, biological validation is essential for physiological relevance. We aim to predict the interactions between microRNAs and mRNAs in oral herpes virus using graph attention networks.
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References
Afonso-Grunz F, Müller S. Principles of miRNA-mRNA interactions: beyond sequence complementarity. Cell Mol Life Sci. 2015 Aug;72(16):3127–41.
Shakyawar S, Southekal S, Guda C. minerals: Prediction of miRNA-mRNA Target Site Interactions Using Regularized Least Square Method. Genes (Basel). 2022 Aug;13(9).
Hadad E, Rokach L, Veksler-Lublinsky I. Empowering prediction of miRNA–mRNA interactions in species with limited training data through
transfer learning. Heliyon [Internet]. 2024 Apr 15;10(7). Available from: https://doi.org/10.1016/j.heliyon.2024.e28000
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