Haipeng Gong

发表

Frontier expansion sampling: a method to accelerate conformational search by identifying novel seed structures for restart.

Juanrong Zhang, Haipeng Gong, H. Gong, 2020, Journal of chemical theory and computation.

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

Haipeng Gong, Di Shao, Wenzhi Mao, 2020, BMC Bioinformatics.

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

Tong Wang, Wenxuan Zhang, Haipeng Gong, 2017, BMC Bioinformatics.

Mining Conditional Phosphorylation Motifs

Jun Wu, Zengyou He, Shengchun Deng, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Predicting the real-valued distances between residue pairs for proteins

Haipeng Gong, Wenze Ding, 2019 .

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

Tong Wang, Yaoqi Zhou, Yuedong Yang, 2016, Bioinform..

DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening

Jianyang Zeng, Yue Zhu, Tian Xia, 2019, Genom. Proteom. Bioinform..

AmoebaContact and GDFold as a pipeline for rapid de novo protein structure prediction

Haipeng Gong, Wenzhi Mao, Yaoguang Xing, 2020 .

Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data

Jianyang Zeng, Sai Zhang, Haipeng Gong, 2016, J. Comput. Biol..

AmoebaContact and GDFold: a new pipeline for rapid prediction of protein structures

Haipeng Gong, Wenzhi Mao, Wenze Ding, 2019, 1905.11640.

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

Dapeng Xiong, Jianyang Zeng, Haipeng Gong, 2017, Bioinform..

DeepConPred2: An Improved Method for the Prediction of Protein Residue Contacts

Wenxuan Zhang, Haipeng Gong, Di Shao, 2018, Computational and structural biotechnology journal.

Constructing Structure Ensembles of Intrinsically Disordered Proteins from Chemical Shift Data

Jianyang Zeng, Sai Zhang, Haipeng Gong, 2015, RECOMB.

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

Zengyou He, Can Yang, Ting Huang, 2013, Comput. Biol. Chem..

Data construction for phosphorylation site prediction

Jun Wu, Zengyou He, Xiaoqing Liu, 2014, Briefings Bioinform..

RBRIdent: An algorithm for improved identification of RNA‐binding residues in proteins from primary sequences

Dapeng Xiong, Jianyang Zeng, Haipeng Gong, 2015, Proteins.

Predicting the Real‐Valued Inter‐Residue Distances for Proteins

Haipeng Gong, Wenze Ding, H. Gong, 2020, Advanced science.

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

Zengyou He, Haipeng Gong, Zengyou He, 2012, Bioinform..

Molecular determinants for the thermodynamic and functional divergence of uniporter GLUT1 and proton symporter XylE

Xin Jiang, Meng Ke, Haipeng Gong, 2017, PLoS Comput. Biol..

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

Yaoqi Zhou, Tong Wang, Yanhua Qiao, 2019, Nature Machine Intelligence.

SAMF: a self-adaptive protein modeling framework

Haipeng Gong, Wenze Ding, Tie-Yan Liu, 2021, Bioinform..

Does secondary structure determine tertiary structure in proteins?

Haipeng Gong, George D Rose, G. Rose, 2005, Proteins.

Structural and Dynamic Insights into the Mechanism of Allosteric Signal Transmission in ERK2-Mediated MKP3 Activation.

Haipeng Gong, Zhi-Xin Wang, H. Gong, 2017, Biochemistry.

Local secondary structure content predicts folding rates for simple, two-state proteins.

Haipeng Gong, Rajgopal Srinivasan, George D Rose, 2003, Journal of molecular biology.

Improving the orientation‐dependent statistical potential using a reference state

Jianyang Zeng, Haipeng Gong, Yufeng Liu, 2014, Proteins.

Building native protein conformation from NMR backbone chemical shifts using Monte Carlo fragment assembly

Yang Shen, Haipeng Gong, George D Rose, 2007, Protein science : a publication of the Protein Society.

Using the unfolded state as the reference state improves the performance of statistical potentials.

Haipeng Gong, Yufeng Liu, H. Gong, 2012, Biophysical journal.

Influence of nonlinear electrostatics on transfer energies between liquid phases: Charge burial is far less expensive than Born model

Haipeng Gong, Karl F. Freed, Glen M. Hocky, 2008, Proceedings of the National Academy of Sciences.