Haipeng Gong

According to our database, Haipeng Gong authored at least 17 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, December, 2024

2022

BERT-Kcr: prediction of lysine crotonylation sites by a transfer learning method with pre-trained BERT models.

Yanhua Qiao, Xiaolei Zhu, Haipeng Gong

Bioinform., 2022

Protein design via deep learning.

Wenze Ding, Kenta Nakai, Haipeng Gong

Briefings Bioinform., 2022

2021

SAMF: a self-adaptive protein modeling framework.

Wenze Ding, Qijiang Xu, Siyuan Liu, Tong Wang, Bin Shao, Haipeng Gong, Tie-Yan Liu

Bioinform., November, 2021

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

RDb2C2: an improved method to identify the residue-residue pairing in β strands.

Di Shao, Wenzhi Mao, Yaoguang Xing, Haipeng Gong

BMC Bioinform., 2020

2019

Improved fragment sampling for ab initio protein structure prediction using deep neural networks.

Tong Wang, Yanhua Qiao, Wenze Ding, Wenzhi Mao, Yaoqi Zhou, Haipeng Gong

Nat. Mach. Intell., 2019

DeepCPI: A Deep Learning-based Framework for Large-scale <i>in silico</i> Drug Screening.

Fangping Wan, Yue Zhu, Hailin Hu, Antao Dai, Xiaoqing Cai, Ligong Chen, Haipeng Gong, Tian Xia, Dehua Yang, Ming-Wei Wang, Jianyang Zeng

Genom. Proteom. Bioinform., 2019

2018

Identification of residue pairing in interacting β-strands from a predicted residue contact map.

Wenzhi Mao, Tong Wang, Wenxuan Zhang, Haipeng Gong

BMC Bioinform., 2018

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

A deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy.

Dapeng Xiong, Jianyang Zeng, Haipeng Gong

Bioinform., 2017

LRFragLib: an effective algorithm to identify fragments for de novo protein structure prediction.

Tong Wang, Yuedong Yang, Yaoqi Zhou, Haipeng Gong

Bioinform., 2017

2016

Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data.

Huichao Gong, Sai Zhang, Jiangdian Wang, Haipeng Gong, Jianyang Zeng

J. Comput. Biol., 2016

2014

Mining Conditional Phosphorylation Motifs.

Xiaoqing Liu, Jun Wu, Haipeng Gong, Shengchun Deng, Zengyou He

IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Data construction for phosphorylation site prediction.

Haipeng Gong, Xiaoqing Liu, Jun Wu, Zengyou He

Briefings Bioinform., 2014

2013

ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics.

Ting Huang, Haipeng Gong, Can Yang, Zengyou He

Comput. Biol. Chem., 2013

2012

Comments on 'MMFPh: A Maximal Motif Finder for Phosphoproteomics Datasets'.

Zengyou He, Haipeng Gong

Bioinform., 2012