Predicting RNA activity expands therapeutic possibilities With AI, it's now possible for researchers to predict the three-dimensional structures of proteins directly from their amino-acid sequences.

Biophysical models now enable accurate prediction of small RNA activity from sequence, offering new insights into gene regulation and potential pathways for RNA-targeted drug development. doi.org/hbtc8x

Predicting RNA Activity Expands Therapeutic Possibilities A Columbia study that predicts an RNA’s activity could unlock new types of drugs and a better understanding of genetic diseases.

Grateful to all co-authors and collaborators who made this possible! Associated press release:
www.cuimc.columbia.edu/news/predict...

Working with my amazing lab mate Dr. Ainan Geng, we used NMR combined with binding & cellular measurements to show that conformational ensembles provide the energetic link to go from RNA sequence to cellular activity using existing RNA secondary structure prediction tools.

Excited to share my final PhD work from the Al-Hashimi lab at Columbia titled “Thermodynamic prediction of RNA cellular activity from sequence via conformational ensembles” is now out in Cell @cp-cell.bsky.social