Xiaohong Liu

Transfer Learning Enhanced Graph Neural Network for Aldehyde Oxidase Metabolism Prediction and Its Experimental Application

This study develops AOMP, a graph neural network for predicting AOX metabolism, outperforming benchmarks and identifying new scaffolds validated experimentally.

FRET monitoring of transcription factor activities in living bacteria

This paper develops a FRET-based assay to monitor TF-promoter interactions in living bacteria and demonstrates its application in identifying modulators and studying bacterial-host interactions.

Automated design and optimization of multitarget schizophrenia drug candidates by deep learning

This paper develops a deep learning system to design multitarget antipsychotic drugs, generating novel compounds with activity against multiple receptors and demonstrating efficacy in animal models.

Computational target fishing by mining transcriptional data using a novel Siamese spectral-based graph convolutional network

The paper introduces a Siamese spectral-based graph convolutional network to infer protein targets of chemical compounds from gene expression data, achieving better performance than existing methods.