Shuya Li

This study identifies microglial Lag3 as a key receptor linking extracellular α-synuclein PFF recognition to neurotoxic astrocyte conversion and dopaminergic neurodegeneration.

This paper presents a data-driven drug repositioning framework that identifies CVL218, a PARP1 inhibitor, as a potential therapeutic for COVID-19 through in silico and experimental validation.

MoTSE estimates task similarity for molecular property prediction to improve transfer learning performance by leveraging graph neural networks and interpretability.

CAMP predicts peptide-protein interactions and binding residues using a convolutional attention-based neural network, outperforming existing methods on benchmark datasets.

MONN predicts non-covalent interactions and binding affinities between compounds and proteins, outperforming existing methods and providing interpretable insights.

DeBooster improves RBP target prediction from CLIP-seq data by reducing false positives and negatives, and enables new biological insights into RBP functions.