John S. Schneekloth

RNAnneal predicts RNA structural ensembles using deep learning and physics-based modeling, outperforming existing methods in classifying experimentally resolved conformations.

This paper introduces ATENA, a method using chemically modified CRISPR-Cas9 to target specific G-quadruplexes and i-motifs, showing ligand-dependent transcriptional changes in c-MYC.

This paper identifies small molecule ligands targeting the K-turn region of the yeast U4/U6 snRNA using a structure-based screening approach and validates their binding effects.

The paper uses machine learning-augmented MD simulations to study ZTP riboswitch ligand interactions, finding that ligand on-rates, not binding affinity, determine activation potency.

This study shows that reducing somatic CAG expansions in HD mice improves motor function and disease markers, suggesting therapeutic potential for HD and similar repeat expansion diseases.

This paper develops bioorthogonal cyclopropenones to crosslink RNA and study its native structures in cells.

This study identifies VNTR6-1 and rs10069690 as regulators of TERT splicing and expression, influencing cancer risk and telomere dynamics through altered telomerase isoform ratios.

This study investigates how different small molecules affect riboswitch activity by altering RNA conformation, showing distinct mechanisms in live cells.