Haiping Zhang

The paper develops two GPCR-specific models, DeepGPCR_BC and DeepGPCR_RG, for binary classification and affinity prediction of ligand interactions, achieving better performance than existing tools.

ChemXTree improves small-molecule drug discovery by integrating tree-based algorithms with a graph model, showing superior performance in feature optimization on benchmark datasets.

This paper introduces DeepBindGCN, a model that predicts protein-ligand interactions using graph convolutional networks and molecular vectors, achieving high accuracy in benchmark datasets.

This paper generates and screens bioactive peptides using deep learning models, demonstrating their potential for therapeutic applications.

The paper generates and screens a bioactive peptide against Xanthine oxidase using LSTM_Pep and DeepPep, achieving a 64.32% inhibitory activity with an IC50 of 3.76mg/mL.

This study validates the use of exosomal DNA from maternal plasma for noninvasive prenatal detection of fetal trisomy and single gene disease.