Benchmark on Drug Target Interaction Modeling from a Structure
Perspective
Benchmark on Drug Target Interaction Modeling from a Structure
Perspective
The prediction modeling of drug-target interactions is crucial to drug discovery and design, which has seen rapid advancements owing to deep learning technologies. Recently developed methods, such as those based on graph neural networks (GNNs) and Transformers, demonstrate exceptional performance across various datasets by effectively extracting structural information. However, the …