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Season 2025, Episode 111: Advances in RNA Modification Identification with Structural Insights | A Deep Learning Approach Using M6A-SAI

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In this episode of SciBud, join Maple as we delve into the revolutionary study exploring RNA modification and the implications of a newly developed AI tool named M6A-SAI. We break down the significance of N6-methyladenosine (m6A)—a critical RNA modification that influences gene expression and is linked to various diseases. Discover how M6A-SAI leverages transformer-based deep learning to improve the identification of m6A sites by incorporating structural insights often overlooked in traditional methods. While the research signals a promising leap in computational biology, we'll also consider critiques regarding the availability of datasets and the need for further validation. Tune in to understand how AI is transforming our approach to biology, and get ready to spark engaging conversations about these scientific breakthroughs!

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