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Decoding circRNA translation: challenges and advances in computational method development
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DOI：10.3389/fgene.2025.1654305.png)
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Abstract
En 中文
In recent years; numerous studies have demonstrated that circRNAs play crucial biological roles through their capacity to encode functional proteins. Computational methods have become essential for investigating circRNA translation. In this review; we first outline circRNA biogenesis and translation mechanisms to establish the rationale for developing specialized computational strategies. We then summarize experimental techniques and existing databases that support computational method development. Subsequently; we provide a systematic introduction to existing circRNA translation analysis tools and their underlying algorithms; with emphasis on benchmarking the performance of sequence-based methods using a unified dataset. Our benchmarking revealed that: (1) cirCodAn achieved superior predictive accuracy while maintaining user accessibility; (2) the training data selection during method development critically impacts model performance. This review serves as a comprehensive reference for the selection and application of circRNA translation analysis methods and provides foundational guidance for the development and refinement of future computational tools.
Keywords:
circRNA
translation
computational methods
benchmarking
predictive accuracy
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