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Tianfeng Shang

Showing results (1-10 of 9) with videos related to

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Journal of Computer-Aided Molecular Design|July 14, 2026
HighDB: a structure-annotated cyclic peptide database for comparative analysis, template retrieval, and design-oriented applicationsYiqi Xu, Ning Zhu, Tianfeng Shang, et al.
IEEE Journal of Biomedical and Health Informatics|October 13, 2025
HighMPNN: A Graph Neural Network Approach for Structure-Constrained Cyclic Peptide Sequence DesignWen Xu, Chengyun Zhang, Tianfeng Shang, et al.
Briefings in Bioinformatics|May 6, 2024
HighFold: accurately predicting structures of cyclic peptides and complexes with head-to-tail and disulfide bridge constraintsChenhao Zhang, Chengyun Zhang, Tianfeng Shang, et al.
Briefings in Bioinformatics|May 12, 2025
Predicting the structures of cyclic peptides containing unnatural amino acids by HighFold2Cheng Zhu, Sen Cao, Tianfeng Shang, et al.
Journal of Chemical Theory and Computation|April 21, 2025
NCPepFold: Accurate Prediction of Noncanonical Cyclic Peptide Structures via Cyclization Optimization with Multigranular RepresentationQingyi Mao, Tianfeng Shang, Wen Xu, et al.
Journal of Medicinal Chemistry|January 25, 2024
Multi_CycGT: A Deep Learning-Based Multimodal Model for Predicting the Membrane Permeability of Cyclic PeptidesLujing Cao, Zhenyu Xu, Tianfeng Shang, et al.
Chemical Science|July 13, 2026
HFGuidedDesign: <i>de novo</i> design of cyclic peptide binders <i>via</i> structure-guided discrete diffusionHaomeng Hu, Renjie Zhu, Ning Zhu, et al.
Journal of Medicinal Chemistry|May 23, 2025
HighPlay: Cyclic Peptide Sequence Design Based on Reinforcement Learning and Protein Structure PredictionHuitian Lin, Cheng Zhu, Tianfeng Shang, et al.
Briefings in Bioinformatics|July 11, 2024
GAPS: a geometric attention-based network for peptide binding site identification by the transfer learning approachCheng Zhu, Chengyun Zhang, Tianfeng Shang, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Computer-Aided Molecular Design|July 14, 2026
HighDB: a structure-annotated cyclic peptide database for comparative analysis, template retrieval, and design-oriented applicationsYiqi Xu, Ning Zhu, Tianfeng Shang, et al.
IEEE Journal of Biomedical and Health Informatics|October 13, 2025
HighMPNN: A Graph Neural Network Approach for Structure-Constrained Cyclic Peptide Sequence DesignWen Xu, Chengyun Zhang, Tianfeng Shang, et al.
Briefings in Bioinformatics|May 6, 2024
HighFold: accurately predicting structures of cyclic peptides and complexes with head-to-tail and disulfide bridge constraintsChenhao Zhang, Chengyun Zhang, Tianfeng Shang, et al.
Briefings in Bioinformatics|May 12, 2025
Predicting the structures of cyclic peptides containing unnatural amino acids by HighFold2Cheng Zhu, Sen Cao, Tianfeng Shang, et al.
Journal of Chemical Theory and Computation|April 21, 2025
NCPepFold: Accurate Prediction of Noncanonical Cyclic Peptide Structures via Cyclization Optimization with Multigranular RepresentationQingyi Mao, Tianfeng Shang, Wen Xu, et al.
Journal of Medicinal Chemistry|January 25, 2024
Multi_CycGT: A Deep Learning-Based Multimodal Model for Predicting the Membrane Permeability of Cyclic PeptidesLujing Cao, Zhenyu Xu, Tianfeng Shang, et al.
Chemical Science|July 13, 2026
HFGuidedDesign: <i>de novo</i> design of cyclic peptide binders <i>via</i> structure-guided discrete diffusionHaomeng Hu, Renjie Zhu, Ning Zhu, et al.
Journal of Medicinal Chemistry|May 23, 2025
HighPlay: Cyclic Peptide Sequence Design Based on Reinforcement Learning and Protein Structure PredictionHuitian Lin, Cheng Zhu, Tianfeng Shang, et al.
Briefings in Bioinformatics|July 11, 2024
GAPS: a geometric attention-based network for peptide binding site identification by the transfer learning approachCheng Zhu, Chengyun Zhang, Tianfeng Shang, et al.
Pageof 1