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Nature Computational Science
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March 24, 2022
Fast and effective protein model refinement using deep graph neural networks
Xiaoyang Jing, Jinbo Xu
Bioinformatics (Oxford, England)
|
December 16, 2020
Improved protein model quality assessment by integrating sequential and pairwise features using deep learning
Xiaoyang Jing, Jinbo Xu
BMC Bioinformatics
|
May 27, 2017
MQAPRank: improved global protein model quality assessment by learning-to-rank
Xiaoyang Jing, Qiwen Dong
BMC Bioinformatics
|
September 4, 2017
RRCRank: a fusion method using rank strategy for residue-residue contact prediction
Xiaoyang Jing, Qiwen Dong, Ruqian Lu
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
April 19, 2019
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment
Xiaoyang Jing, Qiwen Dong, Daocheng Hong, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
March 20, 2024
Single-sequence protein structure prediction by integrating protein language models
Xiaoyang Jing, Fandi Wu, Xiao Luo, et al.
Scientific Reports
|
August 18, 2016
Sorting protein decoys by machine-learning-to-rank
Xiaoyang Jing, Kai Wang, Ruqian Lu, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
October 5, 2019
A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning
Xiaoyang Jing, Hong Zeng, Sheng Wang, et al.
Bioinformatics (Oxford, England)
|
November 10, 2022
Improving protein structure prediction using templates and sequence embedding
Fandi Wu, Xiaoyang Jing, Xiao Luo, et al.
Journal of Medicinal Chemistry
|
May 19, 2026
ABRefine: An Accurate Antibody Structure Refinement Method by Equivariant Graph Transformer with Rigid Body Constraint
Jinxian Wang, Ziqiao Zhang, Xiaoyang Jing, et al.
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Search research articles
Search
Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Nature Computational Science
|
March 24, 2022
Fast and effective protein model refinement using deep graph neural networks
Xiaoyang Jing, Jinbo Xu
Bioinformatics (Oxford, England)
|
December 16, 2020
Improved protein model quality assessment by integrating sequential and pairwise features using deep learning
Xiaoyang Jing, Jinbo Xu
BMC Bioinformatics
|
May 27, 2017
MQAPRank: improved global protein model quality assessment by learning-to-rank
Xiaoyang Jing, Qiwen Dong
BMC Bioinformatics
|
September 4, 2017
RRCRank: a fusion method using rank strategy for residue-residue contact prediction
Xiaoyang Jing, Qiwen Dong, Ruqian Lu
IEEE/ACM Transactions on Computational Biology and Bioinformatics
|
April 19, 2019
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment
Xiaoyang Jing, Qiwen Dong, Daocheng Hong, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
March 20, 2024
Single-sequence protein structure prediction by integrating protein language models
Xiaoyang Jing, Fandi Wu, Xiao Luo, et al.
Scientific Reports
|
August 18, 2016
Sorting protein decoys by machine-learning-to-rank
Xiaoyang Jing, Kai Wang, Ruqian Lu, et al.
Methods in Molecular Biology (Clifton, N.J.)
|
October 5, 2019
A Web-Based Protocol for Interprotein Contact Prediction by Deep Learning
Xiaoyang Jing, Hong Zeng, Sheng Wang, et al.
Bioinformatics (Oxford, England)
|
November 10, 2022
Improving protein structure prediction using templates and sequence embedding
Fandi Wu, Xiaoyang Jing, Xiao Luo, et al.
Journal of Medicinal Chemistry
|
May 19, 2026
ABRefine: An Accurate Antibody Structure Refinement Method by Equivariant Graph Transformer with Rigid Body Constraint
Jinxian Wang, Ziqiao Zhang, Xiaoyang Jing, et al.
Page
of 2