Nandita Sharma

This study introduces RSMBind, a deep learning model for predicting RNA-small molecule binding sites, achieving high accuracy on benchmark datasets and demonstrating the utility of RNA language models in the absence of structural data.

rpcFold predicts RNA secondary structures using a residual parallel convolutional neural network, achieving improved performance on nested and pseudoknot base-pairs.