Drug-target affinity prediction is a key challenge in the drug discovery process. Recent advances have demonstrated the great potential of deep learning in predicting affinities; however, existing approaches learn the representation of drug-target complex insufficiently, leading to suboptimal performance. Here, we propose a Multiscale Hybrid Attention Network for the Drug-Target Affinity predictio...Show More
China‘s ambient air quality has improved significantly as a result of the formulation and implementation of the Action Plan for the Prevention and Control of Air Pollution and the Three-Year Action Plan for Winning the Blue Sky Defense War, but the air pollution problem in key regions remains severe, diesel truck pollution has not been effectively addressed, and mobile sources are an important sou...Show More
