Kui Xu

Research Scientist

AI for structure modeling

Jinsong Zhang Ph.D

[1] RNA structure determination: From 2D to 3D;

[2] Advances and opportunities in RNA structure experimental determination and computational modeling;

[3] An ultra low-input method for global RNA structure probing uncovers Regnase-1-mediated regulation in macrophages;

[4] RNA structure probing reveals the structural basis of Dicer binding and cleavage;

[5] RNA structural dynamics regulate early embryogenesis through controlling transcriptome fate and function;

Wenze Huang Ph.D

[1] PrismNet: predicting protein–RNA interaction using in vivo RNA structural information;

[2] Comparison of viral RNA–host protein interactomes across pathogenic RNA viruses informs rapid antiviral drug discovery for SARS-CoV-2;

[3] In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs;

[4] Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures;

[5] RNA structure maps across mammalian cellular compartments;

[6] Integrative Analysis of Zika Virus Genome RNA Structure Reveals Critical Determinants of Viral Infectivity;

Lei Tang Ph.D

[1] An ultra low-input method for global RNA structure probing uncovers Regnase-1-mediated regulation in macrophages;

[2] Predicting dynamic cellular protein–RNA interactions by deep learning using in vivo RNA structures;

[3] SCALE method for single-cell ATAC-seq analysis via latent feature extraction;

[4] RNA structure maps across mammalian cellular compartments;

[5] Integrative Analysis of Zika Virus Genome RNA Structure Reveals Critical Determinants of Viral Infectivity;

[6] Joint analysis of chromatin accessibility and gene expression in the same single cells reveals cancer- specific regulatory programs;

Kang Tian Ph.D

[1] Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space;

[2] SCALE method for single-cell ATAC-seq analysis via latent feature extraction;

Yuzhe Li Ph.D

[1] Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space;

[2] The chromatin-remodeling enzyme Smarca5 regulates erythrocyte aggregation via Keap1-Nrf2 signaling;

Jingle Xu

PhD student

[1] VRmol: an Integrative Web-Based Virtual Reality System to Explore Macromolecular Structure;

Jianghui Zhu

PhD student

[1] PrismNet: predicting protein–RNA interaction using in vivo RNA structural information;

[2] Recent advances in RNA structurome;

[3] An ultra low-input method for global RNA structure probing uncovers Regnase-1-mediated regulation in macrophages;

Pengfei Wang

PhD student

RNA-targeting drug discovery

Muzhi Dai

PhD student

[1] CryoRes: Local Resolution Estimation of Cryo-EM Density Maps by Deep Learning;

Jiasheng Zhang

PhD student

RNA-targeting Drug Discovery

Weixi Ning

PhD student

[1] Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space;

Jianbo Ma

PhD student

RNA Design

Zihan Dominic Li

PhD student

RNA-targeting drug discovery

Kunting Mu

PhD student

Deep learning, RNA structure

Zilin Cai

PhD student

RNA Design

Xinyue Shan

PhD student

RNA structure

Weining Fu

PhD student

Deep learning, Cryo-EM

Xiaolei Fu

PhD student

Unbiased capture of physical cell-cell interaction networks in complex tissues at scale, High-throughput screening technology for capturing antibody-antigen interactions

Yingjia Xu

PhD student

single cell technology, cell-cell interaction

Xin Wen

PhD student

Deep learning, RNA

Jianhua Huang

PhD student

RNA structure, Cryo-EM

Kaile Huang

PhD student

RNA Biology

Yumeng Chen

PhD student

Deep learning, Single-cell omics