LSTM-SAGDTA: Predicting Drug-target Binding Affinity with an Attention Graph Neural Network and LSTM Approach.
Wenjing QiuQianle LiangLiyi YuXuan XiaoWangren QiuWeizhong LinPublished in: Current pharmaceutical design (2024)
Moreover, LSTM-SAGDTA obtained superior accuracy over current state-of-the-art methods only by using less training time. The results of experiments suggest that this method represents a highprecision solution for the DTA predictor.