Comments on 'MMFPh: A Maximal Motif Finder for Phosphoproteomics Datasets'. - Zengyou He; Haipeng Gong (Bioinform., 2012)

ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics. - Ting Huang; Haipeng Gong; Can Yang 002; Zengyou He (Comput. Biol. Chem., 2013)

Data construction for phosphorylation site prediction. - Haipeng Gong; Xiaoqing Liu; Jun Wu; Zengyou He (Briefings Bioinform., 2014)

Mining Conditional Phosphorylation Motifs. - Xiaoqing Liu; Jun Wu; Haipeng Gong; Shengchun Deng; Zengyou He (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data. - Huichao Gong; Sai Zhang; Jiangdian Wang; Haipeng Gong; Jianyang Zeng 001 (J. Comput. Biol., 2016)

LRFragLib: an effective algorithm to identify fragments for de novo protein structure prediction. - Tong Wang 014; Yuedong Yang; Yaoqi Zhou; Haipeng Gong (Bioinform., 2017)

A deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy. - Dapeng Xiong; Jianyang Zeng 001; Haipeng Gong (Bioinform., 2017)

Molecular determinants for the thermodynamic and functional divergence of uniporter GLUT1 and proton symporter XylE. - Meng Ke; Yafei Yuan; Xin Jiang; Nieng Yan; Haipeng Gong (PLoS Comput. Biol., 2017)

Identification of residue pairing in interacting β-strands from a predicted residue contact map. - Wenzhi Mao; Tong Wang 014; Wenxuan Zhang; Haipeng Gong (BMC Bioinform., 2018)

DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening. - Fangping Wan; Yue Zhu 010; Hailin Hu 002; Antao Dai; Xiaoqing Cai; Ligong Chen; Haipeng Gong; Tian Xia; Dehua Yang; Ming-Wei Wang 001; Jianyang Zeng 001 (Genom. Proteom. Bioinform., 2019)

Improved fragment sampling for ab initio protein structure prediction using deep neural networks. - Tong Wang 014; Yanhua Qiao; Wenze Ding; Wenzhi Mao; Yaoqi Zhou; Haipeng Gong (Nat. Mach. Intell., 2019)

RDb2C2: an improved method to identify the residue-residue pairing in β strands. - Di Shao; Wenzhi Mao; Yaoguang Xing; Haipeng Gong (BMC Bioinform., 2020)

AmoebaContact and GDFold as a pipeline for rapid de novo protein structure prediction. - Wenzhi Mao; Wenze Ding; Yaoguang Xing; Haipeng Gong (Nat. Mach. Intell., 2020)

SAMF: a self-adaptive protein modeling framework. - Wenze Ding; Qijiang Xu; Siyuan Liu 005; Tong Wang 014; Bin Shao; Haipeng Gong; Tie-Yan Liu (Bioinform., 2021)

Protein design via deep learning. - Wenze Ding; Kenta Nakai; Haipeng Gong (Briefings Bioinform., 2022)

BERT-Kcr: prediction of lysine crotonylation sites by a transfer learning method with pre-trained BERT models. - Yanhua Qiao; Xiaolei Zhu 001; Haipeng Gong (Bioinform., 2022)

Improving the prediction of protein stability changes upon mutations by geometric learning and a pre-training strategy. - Yunxin Xu; Di Liu; Haipeng Gong (Nat. Comput. Sci., 2024)

Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients. - Zhengqi Zhu; Mimi Mao; Anyi Song; Haipeng Gong; Jianan Gu; Yongfeng Dai; Feng Feng (BMC Medical Imaging, 2024)