Lightweight 2D-Convolutional Neural Network for Drug-Kinase Binding Affinity Prediction with Minimal Encoded Representations
Background Drug–kinase binding affinity (DKBA) prediction plays a crucial role in prioritizing compounds and reducing the time and financial resources required for drug discovery. However, many existing deep learning models rely on complex molecular representations, such as molecular graphs or pretrained embeddings, wh...