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Chenjie Feng

Showing results (1-10 of 24) with videos related to

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Ultramicroscopy|May 22, 2026
Optimized L<sub>1</sub>-norm smoothing gradient improves electron tomography's tilt series alignment with both localized and virtual fiducial markersXinyan Li, Zihe Xu, Shengkai Guo, et al.
Frontiers in Nutrition|December 1, 2025
Genetic homocysteine risk shapes cardiocerebral structure and multimorbidity through age- and sex-specific mechanisms: a UK Biobank studyChenjie Feng, Yupeng Ma, Tian Zhang, et al.
Biophysical Journal|November 2, 2025
ptmK: A computationally efficient toolkit for high-throughput lysine PTM modeling in proteinsChenjie Feng, Peng Zhang, Lei Bao, et al.
Bioinformatics (Oxford, England)|June 3, 2026
Benchmarking Deep Learning Methods for Cα Atom Prediction in Cryo-EM Density MapsTian Zhang, Zhe Liu, Yiqing Ma, et al.
Plos Biology|February 17, 2026
DRfold2 is a deep learning-based tool that enables efficient and accurate RNA structure predictionYang Li, Chenjie Feng, Xi Zhang, et al.
Nature Communications|February 21, 2024
Accurate global and local 3D alignment of cryo-EM density maps using local spatial structural featuresBintao He, Fa Zhang, Chenjie Feng, et al.
Ultramicroscopy|May 6, 2025
Robust projection parameter calibration in cryo-ET with L<sub>1</sub>-norm optimizationShengkai Guo, Zihe Xu, Xinyan Li, et al.
Briefings in Bioinformatics|January 13, 2026
DeepRMSF: a deep learning-based automated approach for predicting atomic-level flexibility in RNA structureChenjie Feng, Xiaowen Sun, Xintao Song, et al.
Nature Communications|September 16, 2023
Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure predictionYang Li, Chengxin Zhang, Chenjie Feng, et al.
Nature Communications|July 2, 2024
Accurate Prediction of Protein Structural Flexibility by Deep Learning Integrating Intricate Atomic Structures and Cryo-EM Density InformationXintao Song, Lei Bao, Chenjie Feng, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Ultramicroscopy|May 22, 2026
Optimized L<sub>1</sub>-norm smoothing gradient improves electron tomography's tilt series alignment with both localized and virtual fiducial markersXinyan Li, Zihe Xu, Shengkai Guo, et al.
Frontiers in Nutrition|December 1, 2025
Genetic homocysteine risk shapes cardiocerebral structure and multimorbidity through age- and sex-specific mechanisms: a UK Biobank studyChenjie Feng, Yupeng Ma, Tian Zhang, et al.
Biophysical Journal|November 2, 2025
ptmK: A computationally efficient toolkit for high-throughput lysine PTM modeling in proteinsChenjie Feng, Peng Zhang, Lei Bao, et al.
Bioinformatics (Oxford, England)|June 3, 2026
Benchmarking Deep Learning Methods for Cα Atom Prediction in Cryo-EM Density MapsTian Zhang, Zhe Liu, Yiqing Ma, et al.
Plos Biology|February 17, 2026
DRfold2 is a deep learning-based tool that enables efficient and accurate RNA structure predictionYang Li, Chenjie Feng, Xi Zhang, et al.
Nature Communications|February 21, 2024
Accurate global and local 3D alignment of cryo-EM density maps using local spatial structural featuresBintao He, Fa Zhang, Chenjie Feng, et al.
Ultramicroscopy|May 6, 2025
Robust projection parameter calibration in cryo-ET with L<sub>1</sub>-norm optimizationShengkai Guo, Zihe Xu, Xinyan Li, et al.
Briefings in Bioinformatics|January 13, 2026
DeepRMSF: a deep learning-based automated approach for predicting atomic-level flexibility in RNA structureChenjie Feng, Xiaowen Sun, Xintao Song, et al.
Nature Communications|September 16, 2023
Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure predictionYang Li, Chengxin Zhang, Chenjie Feng, et al.
Nature Communications|July 2, 2024
Accurate Prediction of Protein Structural Flexibility by Deep Learning Integrating Intricate Atomic Structures and Cryo-EM Density InformationXintao Song, Lei Bao, Chenjie Feng, et al.
Pageof 3