Chao Peng

This paper introduces ProTCR, a reinforcement learning method for predicting TCR-pMHC binding, achieving higher accuracy than existing methods on benchmark datasets.

This study reveals the asymmetric binding of SRC1 to FXR-RXR and the allosteric communication within the complex, providing a structural model for understanding FXR function and its disease implications.

The paper develops Quartet, a proteome reference material with built-in truths, to assess label-free proteomics reproducibility across platforms and labs.

AbFold improves antibody structure prediction by refining 3D point clouds and using unsupervised learning, achieving better accuracy than AlphaFold and IgFold for CDR loops.

This study introduces DeepNovo Peptidome and DeepSelf for neoantigen discovery and validation using immunopeptidomics and deep learning, demonstrating their application in cervical cancer tissues.

The paper systematically identifies PRMT interactomes and shows arginine methylation regulates RNA splicing and translation by affecting ribosome assembly and cell growth.

The paper identifies a ternary complex involving Panx, dNxf2, and dNxt1 that suppresses transposon expression by inhibiting RNA export.