Yuguang Mu

Orcid: 0000-0002-2499-026X

According to our database1, Yuguang Mu authored at least 25 papers between 2009 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
zERExtractor: An Automated Platform for Enzyme-Catalyzed Reaction Data Extraction from Scientific Literature.
J. Chem. Inf. Model., 2026

Unveiling the Activation Mechanism of Glucagon-Like Peptide-1 Receptor by an Ago-Allosteric Modulator via Molecular Dynamics Simulations.
J. Chem. Inf. Model., 2026

Could statistical potential models achieve comparable or better performance than deep learning models?
Briefings Bioinform., 2026

2025
Evaluations of the Perturbation Resistance of the Deep-Learning-Based Ligand Conformation Optimization Algorithm.
J. Chem. Inf. Model., 2025

BridgeNet: a high-efficiency framework integrating sequence and structure for protein and enzyme function prediction.
Briefings Bioinform., 2025

Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
Advancing Bioactivity Prediction Through Molecular Docking and Self-Attention.
IEEE J. Biomed. Health Informatics, December, 2024

Protein language models are performant in structure-free virtual screening.
Briefings Bioinform., November, 2024

A new paradigm for applying deep learning to protein-ligand interaction prediction.
Briefings Bioinform., May, 2024

RmsdXNA: RMSD prediction of nucleic acid-ligand docking poses using machine-learning method.
Briefings Bioinform., May, 2024

Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction.
PLoS Comput. Biol., 2024

ProAffinity-GNN: A Novel Approach to Structure-Based Protein-Protein Binding Affinity Prediction via a Curated Data Set and Graph Neural Networks.
J. Chem. Inf. Model., 2024

Pharmacophore-constrained de novo drug design with diffusion bridge.
CoRR, 2024

Protein solubility prediction through structure and sequence-based embeddings.
Commun. Inf. Syst., 2024

OpenDock: a pytorch-based open-source framework for protein-ligand docking and modelling.
Bioinform., 2024

2023
Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design.
Nat. Mac. Intell., July, 2023

A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function.
Briefings Bioinform., January, 2023

2022
Improving protein-ligand docking and screening accuracies by incorporating a scoring function correction term.
Briefings Bioinform., 2022

2019
Molecular Dynamics and Simulation.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

The Necessity of d-Thr in the New Antibiotic Teixobactin: A Molecular Dynamics Study.
J. Chem. Inf. Model., 2019

2018
Proposing drug fragments for dengue virus NS5 protein.
J. Bioinform. Comput. Biol., 2018

2015
Fast, accurate, and reliable molecular docking with QuickVina 2.
Bioinform., 2015

2012
Accurate detection of SNPs using base-specific cleavage and mass spectrometry.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Dynamically-Driven Inactivation of the Catalytic Machinery of the SARS 3C-Like Protease by the N214A Mutation on the Extra Domain.
PLoS Comput. Biol., 2011

2009
Amyloidogenesis Abolished by Proline Substitutions but Enhanced by Lipid Binding.
PLoS Comput. Biol., 2009


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