Jason Z. Zhang

This study designs Ras isoform-specific binders using deep learning to target the C-termini of Ras proteins, enabling specific inhibition and study of their roles in biology and disease.

This paper introduces RFD2-MI, a deep learning framework for designing phosphotyrosine peptide binders, showing high specificity and affinity for phosphorylated targets.

The paper develops RFdiffusion to generate protein binders for IDPs/IDRs, achieving nanomolar affinity and functional applications in amylin and IL2RG.

This paper presents computational methods for designing GPCR-binding miniproteins and validates them through high-throughput screening, producing agonists and antagonists for multiple GPCRs.

The paper designs EndoTags to trigger endocytosis and degradation of target proteins, enabling tissue-specific targeting and therapeutic applications.

The paper introduces a thermodynamically coupled biosensor to rapidly detect neutralizing antibodies against SARS-CoV-2 strains in serum samples.