Suwen Zhao

This paper assesses GPCR-ligand complex predictions in the era of AlphaFold, showing AI models can match or exceed low-resolution experimental structures but still need high-resolution data and hybrid methods.

This study identifies a novel vimentin variant secreted by tumor-associated macrophages that promotes cancer metastasis by activating IGF-1R and increasing integrin expression.

The paper determines the crystal structure of a constitutive active A2A receptor mutant to elucidate the molecular mechanism of mutation-induced activity.

This study shows that CTPS filaments (cytoophidia) in Drosophila adipose tissue link metabolism and tissue architecture through Collagen IV-Integrin signaling.

The paper improves protein contact map prediction for sequences with few homologs by using consistency learning on reduced multiple sequence alignments.

The paper constructs a hybrid spectral library combining DIA-MS data and a targeted virtual library to enhance proteome coverage, achieving significant increases in protein and peptide identification in mouse brain tissues.

The paper identifies a universal activation mechanism for class A GPCRs by analyzing high-resolution structures, linking ligand binding to G protein coupling through TM6 movement.