Chao Wang

This paper describes a trimeric inhibitor, S22, that stabilizes the SARS-CoV-2 spike protein in a closed conformation, preventing ACE2 binding and viral entry.

The paper presents a hybrid experimental and computational framework to quantify variant abundance in globin genes, using saturation mutagenesis and deep learning for cross-paralog prediction.

The paper uses a machine learning approach to analyze AAT variants and identifies critical residue interactions that balance function and misfolding, providing insights for therapeutic development.

The paper shows that modulating the Hsp70 chaperone system improves NPC1 protein trafficking and stability across diverse genotypes by altering spatial covariance tolerance.