Michael Uhl

This study evaluates AlphaFold 3's accuracy and reliability in predicting RNA structures and protein-RNA interfaces, finding that confidence scores do not always correlate with correct predictions.

CRISCross improves CRISPR-Cas9 off-target prediction by integrating epigenetic features with sequence data across cell types, showing better performance than sequence-only models.

This paper introduces a foundation model for CRISPR array detection that works without metagenomic assembly, achieving high accuracy on both short and long sequences.

This work introduces a dataset and a transformer-based model for classifying ncRNA-protein interactions, showing strong performance compared to existing methods.

GraphProt2 predicts RNA-binding protein binding sites using graph neural networks, outperforming existing methods on CLIP-seq datasets.

MechRNA predicts lncRNA mechanisms by integrating RNA-RNA and RNA-protein interaction predictions to identify potential targets and mechanisms for cancer-related lncRNAs.