Author

Guang-Xing He

Zhejiang University of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:protein structure· 3 Research Focus:protein structure prediction· 3 Approach:deep learning· 2 Approach:graph neural network· 1

Frequent Co-Authors

Guijun ZhangiD· 3 shared Jun LiuiD· 2 shared Kailong ZhaoiD· 2 shared Dong LiuiD· 1 shared Jun LiuiD· 1 shared Liujing WangiD· 1 shared Xiaogen ZhouiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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3 shared papersBioinformatics

Guijun ZhangORCID

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3 papers

Recent·Most cited

GraphGPSM: a global scoring model for protein structure using graph neural networks

Guang-Xing He, Jun Liu, Dong Liu, Guijun Zhang

This paper introduces GraphGPSM, a graph neural network-based scoring model for protein structure prediction, which improves accuracy over existing methods on benchmark datasets.

Briefings in Bioinformatics · May 31, 2023Peer-reviewedBioinformatics

De novo protein structure prediction by incremental inter-residue geometries prediction and model quality assessment using deep learning

Jun Liu, Guang-Xing He, Kailong Zhao, Guijun Zhang

RocketX improves de novo protein structure prediction using a closed-loop feedback mechanism combining geometric constraint prediction and model quality assessment.

bioRxiv · Jan 11, 2022 · PreprintBioinformatics

A de novo protein structure prediction by iterative partition sampling, topology adjustment, and residue-level distance deviation optimization

Jun Liu, Kailong Zhao, Guang-Xing He, Liujing Wang, Xiaogen Zhou, Guijun Zhang

IPTDFold improves protein structure prediction by combining iterative sampling, topology adjustment, and distance deviation optimization, outperforming existing methods on benchmark datasets.

Bioinformatics · Aug 30, 2021Peer-reviewedBioinformatics