Jessica L. Childs‐Disney

SMARTFlexDB links ligand-bound and ligand-free RNA structures to study conformational flexibility and small-molecule recognition, providing a resource for RNA-targeted drug discovery.

SMARTPocket uses geometric deep learning to predict RNA-small molecule binding pockets from 3D structures, outperforming existing methods and identifying cryptic ligandable sites.

This study shows that degrading the miR-21 precursor with TGP-21-RiboTAC reduces pathogenic pathways in fibrosis models by reactivating tumor suppressor genes.

The paper develops a live-cell method to identify RNA-small molecule interactions and uses it to design selective RNA degraders.

SMARTBind uses deep learning and contrastive learning to identify small molecule binders to RNA without structural input, outperforming existing methods and reducing computational cost.

This paper designs an orally bioavailable small molecule that targets RNA to reduce 4R tau protein abundance and alleviate disease phenotypes in a mouse model.

This paper describes a method to map small-molecule RNA-binding sites in live cells and identifies their targets and binding sites.

This paper reports NMR structures and magnetic force spectroscopy studies of small molecules binding to RNA CAG repeat expansions, revealing their binding modes and structural effects.

The paper reports NMR structures of small molecules bound to an RNA CUG repeat expansion motif, revealing binding interactions and conformational changes that inform drug design.

The paper identifies structured regions in tau pre-mRNA that influence splicing and stability, potentially offering new therapeutic targets for tauopathies.

The paper identifies stable secondary structures in MYC mRNA, including a conserved 3′ UTR motif that affects gene expression and offers potential druggable targets.