Xiaoqiang Huang

OmegaTherm predicts mutation-induced protein stability responses by jointly modeling folding free energy and melting temperature, achieving state-of-the-art performance in prediction and variant ranking.

The paper introduces CAMP-14-3-3, a framework that improves 14-3-3 binding prediction by integrating multi-scale biological features and protein language model embeddings, outperforming existing methods.

This study shows that catalytic rewiring of Fanzor2's RuvC-II site activates trans-cleavage, enabling new diagnostic applications.

This paper computationally designs a PAM-relaxed SaCas9 variant, KRH, with expanded targeting capability and enhanced editing efficiency.

This paper designs CYP102A1 variants to biosynthesize the antiplatelet drug DT-678, showing improved catalytic activity and productivity with ascorbic acid protection.

The paper introduces SAAINT-parser, a tool for extracting antibody and antibody-antigen interaction data from PDB, resulting in SAAINT-DB, which offers more accurate and comprehensive data than existing databases.

This paper introduces a method to degrade phospho-14-3-3-binding-motif proteins using a ubiquitin-proteasome system, demonstrating its efficiency and specificity for studying these proteins.

The paper introduces UniDesign, a computational framework for designing protein-nucleic acid interactions, and demonstrates its ability to accurately predict PAM-PIAA interactions for Cas9 proteins.

This paper introduces FoldDesign, a method for de novo protein fold design that creates novel structures from secondary structure assignments, achieving high fidelity and stability.

The paper identifies potential SARS-CoV-2 receptors, including CAT, AGTR2, L-SIGN, and DC-SIGN, which show higher binding affinity to the S protein than ACE2 and are expressed in affected tissues.

This study designs SARS-CoV-2 spike protein variants with enhanced immunogenicity by engineering T cell epitopes while preserving structure and function.

This study identifies potential intermediate hosts of SARS-CoV-2 by modeling Spike-RBD binding affinity to ACE2 proteins across multiple species.

The paper designs peptides to block SARS-CoV-2 spike protein binding to hACE2 using computational methods, showing improved binding affinity compared to wild-type.

The paper re-analyzes computational findings from two studies, concluding that snakes are not intermediate hosts of 2019-nCoV and that spike protein insertions are naturally evolved from bat coronaviruses.