MultiRankDTA: A Hybrid Ranking Framework for Robust and Generalizable Drug-Target Affinity Prediction
Predicting drug-target affinity (DTA) is essential for screening candidate compounds in early-stage drug discovery. However, most existing computational methods formulate DTA prediction as a regression task, leading to an objective mismatch with the practical need to rank and prioritize candidate compounds based on t...