Xiwen Wang Ph.D

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

[2] RNA structure probing uncovers RNA structure-dependent biological functions;

Yuhan Fei Ph.D

[1] RNA Structural Dynamics Modulate EGFR-TKI Resistance Through Controlling YRDC Translation in NSCLC Cells;

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

Kui Xu Ph.D

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

[2] Structural basis of membrane skeleton organization in red blood cells;

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

[4] A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments;

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

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

[7] Structure of the activated human minor spliceosome;

[8] RASP: an atlas of transcriptome-wide RNA secondary structure probing data;

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

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

[11] A²-Net: Molecular Structure Estimation from Cryo-EM Density Volumes;

[12] RISE: a database of RNA interactome from sequencing experiments;

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;

Zhuoer Dong

PhD student

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

Jingle Xu

PhD student

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

Zegang Li

PhD student

Deep Learning, Parallel Computing

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