Author

Annalisa Marsico

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Review Open access Jul 2026

Machine learning and language models for RNA structure prediction: Progress and perspectives.

The state of the art in RNA structure prediction is reviewed, covering key training datasets, community benchmarks, and the performance of current models, as well as perspectives on integrating other data modalities, such as chemical probing signals and RNA modifications, as well as the emerging role of generative models.

Lambert Moyon, Annalisa Marsico · Current Opinion in Structura... · 0 citations

Open access Aug 2026

PARNET: A CLIP-SEQ-BASED FOUNDATION MODEL FOR RNA SEQUENCE REPRESENTATION LEARNING

Parnet is a multi-task foundation model trained end-to-end on 223 eCLIP-seq experiments spanning 150 RBPs to predict base-resolution RBP binding profiles directly from RNA sequence, and establishes the RBP interactome as a compact, functionally sufficient, and interpretable basis for foundation model pretraining in RNA biology.

Lambert Moyon, Andreina Tirabassi, Artem Baranowskii et al. · bioRxiv · 0 citations