Conner Langeberg

Dec 4, 2024 | nature.com | Yekaterina Shulgina |Marena Trinidad |Conner Langeberg |Hunter Nisonoff |Seyone Chithrananda |Petr Skopintsev | +7 more

AbstractStructured RNA lies at the heart of many central biological processes, from gene expression to catalysis. RNA structure prediction is not yet possible due to a lack of high-quality reference data associated with organismal phenotypes that could inform RNA function. We present GARNET (Gtdb Acquired RNa with Environmental Temperatures), a new database for RNA structural and functional analysis anchored to the Genome Taxonomy Database (GTDB).

Apr 6, 2024 | biorxiv.org | Yekaterina Shulgina |Marena Trinidad |Conner Langeberg |Hunter Nisonoff

AbstractStructured RNA lies at the heart of many central biological processes, from gene expression to catalysis. While advances in deep learning enable the prediction of accurate protein structural models, RNA structure prediction is not possible at present due to a lack of abundant high-quality reference data. Furthermore, available sequence data are generally not associated with organismal phenotypes that could inform RNA function.