… removing skip connection in Trans block, we verified that Trans block and skip connection
… In case studies, we firstly employed MRBDTA to predict binding affinities between Food and …

… Skip connection architecture to enable the model to understand deeper graph information.
The novelty of this method is the use of skip connections … drug target affinity prediction strategy …

… To verify the improvement of CNN model performance in pHLA binding affinity prediction
through skip connection techniques, we will construct binary classification models for the 9-mer …

… binding affinity by experiments. At present, many computational methods have been proposed
to predict binding affinity, … to predict protein–ligand binding affinity and accelerate the drug …

… accuracy of protein–ligand complex binding affinity. The proposed model has two … for
binding affinity prediction. The proposed model performed better than existing binding affinity …

… Notably, there are recent advancements in GNN such as MixHop 11 , JK-Net 34 which are
designed to capture higher order graph structures through skip connections and higher order …

… connected layers (3) without using skip connections, and (4) fusing two different 3D-CNNs,
each of which is trained with a different voxel grid to enable multiscale feature extraction. We …

… Its main goals are both the prediction of the binding pose and the binding affinity of a small
molecule to a macromolecular target, often a protein. A number of works in this field have …

… Our model could predict binding affinity with high accuracy which mainly depended on
two major advantages of the model. First, the undirected-CMPNN fully takes into account the …

… To prevent gradients vanishing when network going deeper or using max-pooling
operation, we add skip connection between the input and output of structure encoder to avoid …