GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions

GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions

Abstract Bacterial small RNAs (sRNAs) are pivotal in post-transcriptional regulation, affecting functions like virulence, metabolism, and gene expression by binding specific mRNA targets. Identifying these targets is crucial to understanding sRNA regulation across species. Despite advancements in hi...

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Bibliographic Details
Main Authors: Shani Cohen, Lior Rokach, Isana Veksler-Lublinsky
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Bioinformatics
Subjects:
sRNA-target prediction
Machine learning
Graph neural networks
Bacterial gene regulation
kGraphRNA
GraphRNA
Online Access:https://doi.org/10.1186/s12859-025-06153-w
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https://doi.org/10.1186/s12859-025-06153-w

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