Unveiling the Potential Pattern Representation of RNA 5-Methyluridine Modification Sites Through a Novel Feature Fusion Model Leveraging Convolutional Neural Network and Tetranucleotide Composition

Unveiling the Potential Pattern Representation of RNA 5-Methyluridine Modification Sites Through a Novel Feature Fusion Model Leveraging Convolutional Neural Network and Tetranucleotide Composition

The 5-Methyluridine (m5U), predominantly present in RNA and especially enriched in transfer RNA (tRNA), significantly enhances translational accuracy and protein synthesis by ensuring precise genetic information decoding and optimal tRNA functionality within cellular mechanisms. The identification o...

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Bibliographic Details
Main Authors: Waleed Alam, Muhammad Tahir, Shahid Hussain, Sarah Gul, Maqsood Hayat, Reyazur Rashid Irshad, Fabiano Pallonetto
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
5-methyluridine
convolutional neural network
Deep-m5U
feature fusion
protein-coding regions
RNA modification
Online Access:https://ieeexplore.ieee.org/document/10388321/

Internet

https://ieeexplore.ieee.org/document/10388321/

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