Anjali R. Verma

This study develops a computational framework to model RNA conformational ensembles and their dynamics, showing temperature's effect on folding landscapes and agreement with experimental data.

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

This study uses single-molecule FRET to analyze the binding mechanism of the Mycobacterium tuberculosis IleS T-box riboswitch, revealing a two-step model and the role of specific sequences in conformational flexibility and tRNA recognition.