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Haipeng Gong
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2020 – today
- 2024
- [j17]Zhengqi Zhu, Mimi Mao, Anyi Song, Haipeng Gong, Jianan Gu, Yongfeng Dai, Feng Feng:
Study on the diagnostic value of MDCT extramural vascular invasion in preoperative N staging of gastric cancer patients. BMC Medical Imaging 24(1): 20 (2024) - 2022
- [j16]Wenze Ding
, Kenta Nakai
, Haipeng Gong
:
Protein design via deep learning. Briefings Bioinform. 23(3) (2022) - [j15]Yanhua Qiao, Xiaolei Zhu
, Haipeng Gong
:
BERT-Kcr: prediction of lysine crotonylation sites by a transfer learning method with pre-trained BERT models. Bioinform. 38(3): 648-654 (2022) - 2021
- [j14]Wenze Ding
, Qijiang Xu, Siyuan Liu, Tong Wang
, Bin Shao, Haipeng Gong
, Tie-Yan Liu:
SAMF: a self-adaptive protein modeling framework. Bioinform. 37(22): 4075-4082 (2021) - 2020
- [j13]Di Shao, Wenzhi Mao, Yaoguang Xing, Haipeng Gong
:
RDb2C2: an improved method to identify the residue-residue pairing in β strands. BMC Bioinform. 21(1): 133 (2020) - [j12]Wenzhi Mao
, Wenze Ding
, Yaoguang Xing, Haipeng Gong
:
AmoebaContact and GDFold as a pipeline for rapid de novo protein structure prediction. Nat. Mach. Intell. 2(1): 25-33 (2020)
2010 – 2019
- 2019
- [j11]Fangping Wan
, Yue Zhu
, Hailin Hu
, Antao Dai
, Xiaoqing Cai
, Ligong Chen
, Haipeng Gong
, Tian Xia
, Dehua Yang
, Ming-Wei Wang
, Jianyang Zeng
:
DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening. Genom. Proteom. Bioinform. 17(5): 478-495 (2019) - [j10]Tong Wang
, Yanhua Qiao, Wenze Ding
, Wenzhi Mao
, Yaoqi Zhou
, Haipeng Gong
:
Improved fragment sampling for ab initio protein structure prediction using deep neural networks. Nat. Mach. Intell. 1(8): 347-355 (2019) - 2018
- [j9]Wenzhi Mao
, Tong Wang
, Wenxuan Zhang, Haipeng Gong
:
Identification of residue pairing in interacting β-strands from a predicted residue contact map. BMC Bioinform. 19(1): 146:1-146:19 (2018) - 2017
- [j8]Tong Wang
, Yuedong Yang
, Yaoqi Zhou
, Haipeng Gong:
LRFragLib: an effective algorithm to identify fragments for de novo protein structure prediction. Bioinform. 33(5): 677-684 (2017) - [j7]Dapeng Xiong, Jianyang Zeng, Haipeng Gong:
A deep learning framework for improving long-range residue-residue contact prediction using a hierarchical strategy. Bioinform. 33(17): 2675-2683 (2017) - [j6]Meng Ke
, Yafei Yuan
, Xin Jiang
, Nieng Yan, Haipeng Gong
:
Molecular determinants for the thermodynamic and functional divergence of uniporter GLUT1 and proton symporter XylE. PLoS Comput. Biol. 13(6) (2017) - 2016
- [j5]Huichao Gong, Sai Zhang
, Jiangdian Wang, Haipeng Gong, Jianyang Zeng:
Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data. J. Comput. Biol. 23(5): 300-310 (2016) - 2015
- [c1]Huichao Gong, Sai Zhang, Jiangdian Wang, Haipeng Gong, Jianyang Zeng:
Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data. RECOMB 2015: 108-121 - 2014
- [j4]Haipeng Gong, Xiaoqing Liu, Jun Wu, Zengyou He
:
Data construction for phosphorylation site prediction. Briefings Bioinform. 15(5): 839-855 (2014) - [j3]Xiaoqing Liu, Jun Wu, Haipeng Gong, Shengchun Deng, Zengyou He
:
Mining Conditional Phosphorylation Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 11(5): 915-927 (2014) - 2013
- [j2]Ting Huang, Haipeng Gong, Can Yang
, Zengyou He
:
ProteinLasso: A Lasso regression approach to protein inference problem in shotgun proteomics. Comput. Biol. Chem. 43: 46-54 (2013) - 2012
- [j1]Zengyou He
, Haipeng Gong:
Comments on 'MMFPh: A Maximal Motif Finder for Phosphoproteomics Datasets'. Bioinform. 28(16): 2211-2212 (2012)
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last updated on 2024-08-05 20:18 CEST by the dblp team
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