Deep learning-based prediction of drug-target interactions between antiviral drugs and SARS-CoV-2 proteins using an image-based representation approach.
This study applies MPS2IT-DTI (Molecule and Protein Sequence to Image Transformer for Drug-Target Interaction), a deep learning framework that represents molecular and protein sequences as images as images using k-mer frequency encoding, enabling convolutional neural networks to capture spatial compositional patterns associated with biochemical interactions.