The source code, training and test datasets of paper 'DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features'

Simultaneous prediction of interaction sites on both protein and peptide sides of complexes through multi-layer graph convolutional networks

CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism

predicting pathogenicity of frameshift and nonsense mutations

The source code of paper 'Identifying modifications on DNA-bound histones with joint deep learning of multiple binding sites in DNA sequence'

The source code and datasets of paper 'ctP2ISP: Protein-protein interaction sites prediction using convolution and transformer with data augmentation'

The source code of paper 'SemanticBI: quantifying intensities of transcription factor-DNA binding by learning from an ensemble of experiments'