Zhipeng Lu

CAI-Vax designs personalized mRNA cancer vaccines by optimizing antigen sequences based on HLA compatibility, reducing predicted junctional binding while varying performance across prediction models.

The paper introduces SHARCLIP to map RNA-RNA, RNA-protein, and protein-protein contacts in cells, revealing structural mechanisms of splicing and therapeutic targets.

The paper describes the process for analyzing RNA sequencing data from crosslink-ligation experiments to detect RNA structures and interactions.

CRIS provides a centralized resource for high-quality RNA structure and interaction data with standardized workflows and tools to support reproducibility and machine learning applications.

The paper introduces computational tools to analyze crosslink-ligation RNA data, revealing new RNA structures and homodimers.

The paper demonstrates that the XIST RNA-protein complex has a modular architecture that determines RBP binding and m6A modification, beyond sequence motifs.

The paper introduces PARIS2, a method for efficiently analyzing RNA structures and interactions in cells, revealing new insights into viral RNA conformations and translation mechanisms.

The paper develops an automated method for RNA secondary structure analysis using network techniques, validated against manual analysis and known structures.