DeepRSMA: a cross-fusion-based deep learning method for RNA-small molecule binding affinity prediction.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Nov 28, 2024
Abstract
MOTIVATION: RNA is implicated in numerous aberrant cellular functions and disease progressions, highlighting the crucial importance of RNA-targeted drugs. To accelerate the discovery of such drugs, it is essential to develop an effective computational method for predicting RNA-small molecule affinity (RSMA). Recently, deep learning-based computational methods have been promising due to their powerful nonlinear modeling ability. However, the leveraging of advanced deep learning methods to mine the diverse information of RNAs, small molecules, and their interaction still remains a great challenge.