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Lupeng Kong

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

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BMC Bioinformatics|September 16, 2021
FALCON2: a web server for high-quality prediction of protein tertiary structuresLupeng Kong, Fusong Ju, Haicang Zhang, et al.
Communications Chemistry|February 26, 2026
Disentangling coevolutionary constraints for modeling protein conformational heterogeneityShimian Li, Chengwei Zhang, Lupeng Kong, et al.
BMC Bioinformatics|March 31, 2019
Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo samplingChao Wang, Yi Wei, Haicang Zhang, et al.
BMC Bioinformatics|November 6, 2020
ISSEC: inferring contacts among protein secondary structure elements using deep object detectionQi Zhang, Jianwei Zhu, Fusong Ju, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 24, 2022
ProALIGN: Directly Learning Alignments for Protein Structure Prediction via Exploiting Context-Specific Alignment MotifsLupeng Kong, Fusong Ju, Wei-Mou Zheng, et al.
Nature Communications|May 6, 2021
CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure predictionFusong Ju, Jianwei Zhu, Bin Shao, et al.
Bioinformatics (Oxford, England)|September 30, 2017
Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contactsJianwei Zhu, Haicang Zhang, Shuai Cheng Li, et al.
Nature Communications|April 25, 2026
RAISE: A computational tool for evaluating sarbecovirus spillover potentialHe Huang, Lupeng Kong, Yanzhi Zhu, et al.
Genomics, Proteomics & Bioinformatics|March 31, 2023
Protein Structure Prediction: Challenges, Advances, and the Shift of Research ParadigmsBin Huang, Lupeng Kong, Chao Wang, et al.
Pageof 1

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

Sort By:
Pageof 1
BMC Bioinformatics|September 16, 2021
FALCON2: a web server for high-quality prediction of protein tertiary structuresLupeng Kong, Fusong Ju, Haicang Zhang, et al.
Communications Chemistry|February 26, 2026
Disentangling coevolutionary constraints for modeling protein conformational heterogeneityShimian Li, Chengwei Zhang, Lupeng Kong, et al.
BMC Bioinformatics|March 31, 2019
Constructing effective energy functions for protein structure prediction through broadening attraction-basin and reverse Monte Carlo samplingChao Wang, Yi Wei, Haicang Zhang, et al.
BMC Bioinformatics|November 6, 2020
ISSEC: inferring contacts among protein secondary structure elements using deep object detectionQi Zhang, Jianwei Zhu, Fusong Ju, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 24, 2022
ProALIGN: Directly Learning Alignments for Protein Structure Prediction via Exploiting Context-Specific Alignment MotifsLupeng Kong, Fusong Ju, Wei-Mou Zheng, et al.
Nature Communications|May 6, 2021
CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure predictionFusong Ju, Jianwei Zhu, Bin Shao, et al.
Bioinformatics (Oxford, England)|September 30, 2017
Improving protein fold recognition by extracting fold-specific features from predicted residue-residue contactsJianwei Zhu, Haicang Zhang, Shuai Cheng Li, et al.
Nature Communications|April 25, 2026
RAISE: A computational tool for evaluating sarbecovirus spillover potentialHe Huang, Lupeng Kong, Yanzhi Zhu, et al.
Genomics, Proteomics & Bioinformatics|March 31, 2023
Protein Structure Prediction: Challenges, Advances, and the Shift of Research ParadigmsBin Huang, Lupeng Kong, Chao Wang, et al.
Pageof 1