Liang Zhang

This study identifies novel chemokine ligand-receptor pairs involved in immune cell recruitment in cutaneous lupus by combining spatial transcriptomics, proteomics, and immunological assays.

The paper identifies molecular and spatial features of early liver transplant rejection, including primed T-cells, immune synapse activation, and novel drug targets like proteasomal and HSP90 inhibitors.

siRNADesign uses a Graph Neural Network to predict siRNA efficacy by analyzing RNA sequences and interactions, achieving state-of-the-art performance in both computational and experimental settings.

The paper introduces LazySampling and LinearSampling algorithms for fast RNA secondary structure sampling, achieving linear-time performance and enabling analysis of full-genome RNA structures like SARS-CoV-2.

LinearTurboFold predicts conserved RNA structures for SARS-CoV-2 homologs efficiently, capturing long-range interactions and enabling global structural analysis of full-length genomes.

CoV-Seq provides a webserver and command-line tool for rapid analysis and visualization of SARS-CoV-2 genomes, automatically predicting gene boundaries and identifying variants.